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Articles 541 - 570 of 864
Full-Text Articles in Systems Science
Simulation And Experimental Research On Real-Time Nurbs Interpolator For Industrial Robot, Zhang Tie, Wentao Gong, Yanbiao Zou
Simulation And Experimental Research On Real-Time Nurbs Interpolator For Industrial Robot, Zhang Tie, Wentao Gong, Yanbiao Zou
Journal of System Simulation
Abstract: A real-time non uniform rational B-spline (NURBS) path interpolator with look-ahead algorithm for six-axis industrial robot is investigated. The algorithm consists of two modules: the global interpolation of the NURBS, and the look-ahead interpolator. The parametric equation of NURBS is built based on the parameter u and v, and the smooth NURBS curve is achieved from several teaching points. The velocity constraint equations are introduced initially based on chord error and centripetal acceleration, and the look-ahead velocity plan and the interpolator are investigated. The current strategy is compared with the trapezoidal acceleration and deceleration interpolator in a real-time controller …
Finite Element Analysis Of Magnetic Flux Leakage Detection For Transverse Cracks Of Sucker Rod, Zhang Ou, Xueye Wei, Wang Pei, Shuxin Yan
Finite Element Analysis Of Magnetic Flux Leakage Detection For Transverse Cracks Of Sucker Rod, Zhang Ou, Xueye Wei, Wang Pei, Shuxin Yan
Journal of System Simulation
Abstract: The modeling and testing technology of the surface transverse cracks of complex defecting for sucker rod were studied, and a finite element simulation model of rod transverse defects was built. The magnetic flux leakage testing simulation was carried out by using ANSYS software, and the changing trend between the lift-off value and the leakage magnetic field was obtained. Two kinds of different magnetization modes of single coil and double coils were analyzed, and the result showed that the double coils magnetization is superior to single coil magnetization. The two dimensional and three dimensional magnetic flux leakage testing …
Counterforce Characteristics Of Shrapnel In Magnetic Latching Relay Based On Abaqus, Xiuping Su, Jiaying Dong, Yanhua Qiao, Huang Min
Counterforce Characteristics Of Shrapnel In Magnetic Latching Relay Based On Abaqus, Xiuping Su, Jiaying Dong, Yanhua Qiao, Huang Min
Journal of System Simulation
Abstract: A 3D model of contact system in magnetic latching relay was established by the software Pro/E, and the shrapnel deformation by force was analyzed in the contact system using finite element analysis software Abaqus. The advantages of Abaqus software in the multibody system simulation were analyzed and summarized, a modeling and simulation approach to contact multibody system in magnetic latching relay based on Abaqus was proposed. The selection of element type, technology of mesh division, definition of boundary condition, and establishment of finite element model were studied. The non-convergence problems were solved in the simulation analysis by adding binding …
Prediction Of Aircraft Cabin Energy Consumption Based On Improved Cooperative Pso Neural Network, Xiuyan Wang, Yanmin Liu, Gewen Zhang, Zongshuai Li, Jiaquan Lin
Prediction Of Aircraft Cabin Energy Consumption Based On Improved Cooperative Pso Neural Network, Xiuyan Wang, Yanmin Liu, Gewen Zhang, Zongshuai Li, Jiaquan Lin
Journal of System Simulation
Abstract: To correctly evaluate the energy needs of the aircraft cabin and to predict the energy consumption of the aircraft cabin with higher accuracy, an energy consumption prediction method based on improved particle swarm optimization (PSO) neural network algorithm parameters is proposed. The method combines the cooperative particle swarm optimization algorithm with chaotic particle swarm optimization algorithm. On the basis of cooperative particle swarm optimization algorithm chaos theory is introduced. Continuous search ability by using chaos optimization method to overcome the collaborative optimization algorithm is easy to fall into the local extremum problem. The parameters of the neural network can …
Ultra-Short-Term Wind Power Forecasting Based On Ceemd And Chaos Theory, Lijie Wang, Zhang Li, Zhang Yan
Ultra-Short-Term Wind Power Forecasting Based On Ceemd And Chaos Theory, Lijie Wang, Zhang Li, Zhang Yan
Journal of System Simulation
Abstract: This paper studies the ultra-short-term prediction of wind power generating capacity by means of CEEMD and chaos theory. Wind power time series is decomposed by CEEMD to decrease the non-stationary of time series. CEEMD can overcome the modal aliasing problem of EMD. The phase space reconstruction method is used to extract characteristics of each sequence, which provides the basis for the selection of input dimension when building a model. The least squares support vector machine models are built for each sequence and the prediction are made separately. The predicted results are added to get the final prediction. Simulation is …
Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu
Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu
Journal of System Simulation
Abstract: This paper studies the formation mechanism of cutting force of SiCp / Al composite based on the processing parameters from the turning experiment, and explains the effect of cutting parameters on the cutting force of SiCp/Al composite such as cutting speed and cutting depth. To further investigate the influence of cutting parameters on cutting force, this paper conducts cutting force simulation of SiCp/Al composite based on ABAQUS, and verifies the accuracy and feasibility of the simulation by comparing with turning experimental results. The S/N ratio and variance of cutting force are analyzed using Taguchi methods. The results show that …
Comparative Study Of Photovoltaic Islanding Detection Based On Sms And Afd, Yunjun Yu, Guoying Zhong, Ruixiang Fan, Qingzhao Ji, Jianyong Zhu
Comparative Study Of Photovoltaic Islanding Detection Based On Sms And Afd, Yunjun Yu, Guoying Zhong, Ruixiang Fan, Qingzhao Ji, Jianyong Zhu
Journal of System Simulation
Abstract: There are many islanding detection methods, especially the active islanding detection method. It is difficult to choose the best method among so many active islanding detection methods in practice. In this paper, the non-detection zone (NDZ), detection speed and their effect to power quality of slide-mode frequency shift (SMS) method and active frequency drift (AFD) were researched. The results show that SMS is superior to AFD at the aspect of the effect on power quality when they have same NDZ. While the detection speed of SMS has big difference under different parameters. The Islanding detection model was built …
Power Control Algorithm Based On Non-Cooperative Game Theory Of Wbans, Xu Yong, Mengya Ke, Fen Liu, Qianming Zha
Power Control Algorithm Based On Non-Cooperative Game Theory Of Wbans, Xu Yong, Mengya Ke, Fen Liu, Qianming Zha
Journal of System Simulation
Abstract: A non-cooperative self-adaptive power control algorithm is proposed based on the model of TDMA wireless body area networks (WBANs) interference. The algorithm is put forward using payoff function and cost function as utility functions.The transmitting power vector is obtained by the optimal response strategy update. It is proved that the network can reach Nash Equilibrium with the transmitting power vector, and in this situation all the users’ utility function is maximized. The Matlab is applied to simulation process of the algorithm, during which simulation has been carried out with different parameters. Compared with …
Dynamic Data Modeling Driven Model For Forest Fire Spread Based On Devs, Guoxiong Zhou, Kejia Yin, Aibin Chen
Dynamic Data Modeling Driven Model For Forest Fire Spread Based On Devs, Guoxiong Zhou, Kejia Yin, Aibin Chen
Journal of System Simulation
Abstract: According to the characteristics of fire behavior with strong sudden, disposal of difficult rescue, and heavy destructiveness, combining dynamic data system and discrete event system specification model, a dynamic data driven forest fire spread model is put forward based on devs modeling. The dynamic data system needs to be realized through the interaction between the computer software and the data characteristics of each environment, which is characterized by flexible data and real data. DEVS supports object-oriented modeling, and can make the modeling and simulation of the system modular, hierarchical and formal. The model is set up according to the …
Study On Evacuation Modeling Of Airport Based On Social Force Model, Shaobo Zhong, Zhichen Yu, Yongsheng Yang, Sun Chao, Quanyi Huang
Study On Evacuation Modeling Of Airport Based On Social Force Model, Shaobo Zhong, Zhichen Yu, Yongsheng Yang, Sun Chao, Quanyi Huang
Journal of System Simulation
Abstract: Public safety events frequently occurred in China and caused great casualty and property loss. Inefficient evacuation is one of the major causes of casualties in emergencies. Taking the T3-E of the Beijing Capital International Airport as a study area, the influence of four factors of evacuation guidance, customs barriers, the airport seats, and construction columns studies is studied through social force model-based simulation. The results show that: four factors have local effects on evacuation respectively. Evacuation guidance has the most significant positive effect while others have a little significant negative effect. Moreover, the relationships between the maximal and optimal …
Public Opinion Evolution And Intervention From Perspective Of Public’S Social Responsibility, Qinghua Song, Jianhong Chen
Public Opinion Evolution And Intervention From Perspective Of Public’S Social Responsibility, Qinghua Song, Jianhong Chen
Journal of System Simulation
Abstract: According to the theory of planned behavior and stages of information spreading behavior, public opinion evolution mechanisms are analyzed from the perspective of public’s social responsibility (SR). Stability of public opinion evolution system is influenced by four kinds of information spreading bodies. Corresponding information spreading paths interact each other while they are relatively independent, which makes stability of the four paths show complexity features. Publishing positive information timely, decreasing population proportion of group ignoring SR and decreasing population proportion of group lack of SR are effective measures of reducing intensity of public opinion evolution and severity of public opinion …
Modeling For Security Protection Capability Of Information System Based On Cpn, Qiangjun Chen, Mingqing Zhang, Hongshan Kong, Xiaohu Liu, Lianjie Shao
Modeling For Security Protection Capability Of Information System Based On Cpn, Qiangjun Chen, Mingqing Zhang, Hongshan Kong, Xiaohu Liu, Lianjie Shao
Journal of System Simulation
Abstract: Modeling plays an important role in assessment for security protection capability. Oriented to the features that evaluation has many methods which update quickly, the analysis frame is proposed based on detect, analyse and respond. Aimed at the problems that it is difficult to model the intelligent learning and coordination process for protective device, analysis model is built based on CPN. The colors of message color sets represent the different properties of events. Detect, analysis and respond components which represent different process of security protection capability are defined. Two theorems are proved, and model complexity is analyzed. The usability …
Application Of Compound Control For Flight Simulator With Eid Estimator, Ren Yan, Guanhua Zhao, Wenbo Tan, Xiaodong Liu
Application Of Compound Control For Flight Simulator With Eid Estimator, Ren Yan, Guanhua Zhao, Wenbo Tan, Xiaodong Liu
Journal of System Simulation
Abstract: In view of the problem that the interference and nonlinear friction sensitively effect on flight simulators, an improved approximation differential compound control strategy with Equivalent Input Disturbance (EID) estimator is presented. Moreover, the setting conditions based on given parameters was proposed. In the presented strategy, the EID estimator can compensate the equivalent input disturbance of the system. Furthermore, owing to the construction of the digital feedforward via the improved differentiator, the improved approximation differentiator is able to acquire accurately the velocity and the acceleration of the signal, and has an ability to inhibit the partial noise by use of …
Research On Performance Validation Of Aircraft Based On Air-Table, Haolong Zhang, Liao Xin, Bin Li, Wenshu Wei, Pei Yin, Junpeng Hui
Research On Performance Validation Of Aircraft Based On Air-Table, Haolong Zhang, Liao Xin, Bin Li, Wenshu Wei, Pei Yin, Junpeng Hui
Journal of System Simulation
Abstract: Aiming at the main issues in performance validation of aircraft, this paper applied air-bearing test technology into the area of performance validation of aircraft, designed and established performance validation system of aircraft based on air-bearing. A kind of theory of space scale model was proposed and the mapping relation between air-bearing space and real space was solved. This research provided a new technical approach for performance validation of aircraft. This system has been successfully applied to a kind of aircraft simulation. The Effectiveness and accuracy are verified.
Visual Simulation Of Aircraft Approach And Landing System Based On Beidou, Ruihua Liu, Cao Hui
Visual Simulation Of Aircraft Approach And Landing System Based On Beidou, Ruihua Liu, Cao Hui
Journal of System Simulation
Abstract: In order to analyze the navigation performance of Ground-Based Augmentation System (GBAS) based on Beidou satellite navigation system (BDS) in approach and landing phase, segments of ground, airborne and space were simulated as GBAS. The broadcast ephemeris data was processed by MATLAB to simulate the BDS constellation and the orbit operation. Based on the minimum operational standards for GBAS released by RTCA, the data model of ground segment and airborne segment were established, and the enhancement algorithm was simulated to analyze the positioning error and navigation performance of BDS. Simulink kinematic and control models were developed to simulate the …
Research On Sensorless Control Method Based On Improved Kalman Filter Of Sliding Mode Observer, Haigang Zhang, Yuanyuan Nie, Zhang Lei, Bulai Wang, Yinzhong Ye, Wan Heng
Research On Sensorless Control Method Based On Improved Kalman Filter Of Sliding Mode Observer, Haigang Zhang, Yuanyuan Nie, Zhang Lei, Bulai Wang, Yinzhong Ye, Wan Heng
Journal of System Simulation
Abstract: Aiming at problems of high frequency ripple component existed in PMSM parameter error caused by the sliding mode observer (SMO) estimation error and counter electromotive force, the stable condition of the speed sensorless control system of permanent magnet motor is weakened. The Kalman filter is introduced to eliminate the high frequency ripple in the front of the sliding mode observer. The control system of the permanent magnet synchronous motor has better steady-state effect and dynamic response. A Matlab platform has been built to validate this method, the experimental results show that the improved sliding mode observer is strong …
Multiple Objective Planning Of Distribution Network With Multiple Distributed Generations, Pan Huan, Xu Chen, Yang Li
Multiple Objective Planning Of Distribution Network With Multiple Distributed Generations, Pan Huan, Xu Chen, Yang Li
Journal of System Simulation
Abstract: The types of distribution network with Distributed generations (DG), the location and capacity will impact on power grid operation and strict, such as unreasonable planning, the normal operation of the power grid have negative effects. Based on this, the main purpose of this paper is to study when the new DG of distribution network access how to reasonable siting and sizing, specific arrangements are. To a real distribution system with a region as an example, the node were evaluated to determine candidate DG installation node, corresponding mathematical optimization model is established, in distribution power purchasing cost, DG operation and …
Research On Mode Shape Characteristics Simulation Of Bell-Shaped Vibratory Angular Rate Gyro, Liu Ning, Su Zhong
Research On Mode Shape Characteristics Simulation Of Bell-Shaped Vibratory Angular Rate Gyro, Liu Ning, Su Zhong
Journal of System Simulation
Abstract: It presents the analysis method of metal shell vibratory gyro’s mode shape for simulation research on Bell-shaped vibratory angular rate gyro, and gives the solution process and result of simulation analysis. Based on the Kirchhoff-Love assuming, by numerical methods to solve mode shape functions of bell-shaped resonator, the low-order modes of bell-shaped resonator is given through comprehensive analysis and finite element simulation results. The mode shaped characteristics of bell-shaped resonator is analyzed effectively through this method. Theory and simulation methods verify the correctness of the theory and promote modal, and lay the bell-shaped vibratory angular rate gyro …
Key Points Analysis And Simulation For Sea Surface Velocity Estimation Based On Spaceborne Ati-Sar System, Yan He, Daiyin Zhu
Key Points Analysis And Simulation For Sea Surface Velocity Estimation Based On Spaceborne Ati-Sar System, Yan He, Daiyin Zhu
Journal of System Simulation
Abstract: ATI (Along Track Interferometric) technique is one of the most important applications for spaceborne SAR (Synthetic Aperture Radar) systems. ATI-SAR systems can directly detect the Doppler offset associated with each pixel of a SAR image. This is achieved by interferometric combination of two complex SAR images of the same scene. The sea surface velocity can be estimated via the calculated interferometric phase. The baseline length, velocity resolution and velocity estimation error are three important factors in the process of spaceborne ATI-SAR system design, and these three points are carefully investigated here. The basic principle and expression of spaceborne ATI-SAR …
Economic Design Of Vsi Arma Charts, Zhang Li, Xiaoyang Dong
Economic Design Of Vsi Arma Charts, Zhang Li, Xiaoyang Dong
Journal of System Simulation
Abstract: To improve the sensitivity of statistical process control reducing costs for process monitoring at the same time, the economic design of autoregressive moving average control chart with variable sampling interval (VSI ARMA) was discussed. The economic model of autoregressive moving average control chart with variable sampling interval (VSI ARMA) was established based on Lorenzen and Vance’s model, in which Markov chain was used to calculate the average time to signal (ATS) through constructing a three dimensional random vector. Using genetic algorithm to search for the optimal combination of seven parameters of VSI ARMA model made the cost of …
Electromagnetic Property Of Axial Piston Pump/Motor Magnetic Slipper Pair, Haishun Deng, Xu Pan, Huang Ran, Yuefei Deng, Dai Peng
Electromagnetic Property Of Axial Piston Pump/Motor Magnetic Slipper Pair, Haishun Deng, Xu Pan, Huang Ran, Yuefei Deng, Dai Peng
Journal of System Simulation
Abstract: In order to control the oil film for the slipper pair more conveniently and flexibly, the magnetic slipper pair is proposed which maintains balance by hydraulic pressure and electromagnetic force, and its mathematical model and finite element model are built. The impact of voltage, electric field strength etc. on magnetic slipper pair’s working performance and service life is analyzed. The results show that: the position of the swash plate in contact with the core of magnetic slipper pair has maximum electric field strength and prone to discharging electric which affect the service life. The main magnetic path forms a …
Study On How To Design Simplest Chaotic Circuit With Two Charge-Controlled Memristors, Shuhua Wu, Xuwei Rong, Zhenyong Liu
Study On How To Design Simplest Chaotic Circuit With Two Charge-Controlled Memristors, Shuhua Wu, Xuwei Rong, Zhenyong Liu
Journal of System Simulation
Abstract: A simplest five-order chaotic circuit is designed with two HP laboratory charge-controlled memristor models and its basic dynamic characteristics are studied using the conventional dynamic analysis method, through which its initial unstable oscillation is discovered and the initial oscillation process is recorded with the maximum Lyapunov exponent; the volt-ampere characteristic and the power output of the two memristors in the circuit are computed, indicating that the memristors are passive components; and the impacts of the inductance, capacitance and conductance to the circuit system are studied using the bifurcation diagram and the maximum Lyapunov exponent spectrum. In addition, the distribution …
Research On Involute Helical Cylindrical Gear Transmission Error Based On Abaqus, Xinrong Liu, Zhonghou Wang, Kubo Aizoh, Kaiyuan Zhang
Research On Involute Helical Cylindrical Gear Transmission Error Based On Abaqus, Xinrong Liu, Zhonghou Wang, Kubo Aizoh, Kaiyuan Zhang
Journal of System Simulation
Abstract: The present paper comes up with torsional vibration model of involute helical gear in order to study the transmission error of involute helical cylindrical gear. It finished the analysis about transmission error of involute helical gear both in the static and the dynamic, at the same time, it showed the laws of dynamic transmission error curve under different loads, which would be compared with the laws of static transmission error curve. The research showed that the greater the load, the larger the absolute value of transmission error, however, the peak difference of dynamic transmission error is not a linear …
Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei
Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei
Journal of System Simulation
Abstract: To solve the problem of rescheduling of workshop production process, combined with the present situation of transparent manufacturing process in discrete workshop, a decision method of rescheduling and an event processing in discrete workshop driven by the abnormal events are proposed. In the IOT driven discrete manufacturing workshop environment, the complex event processing technology is applied to analyze and deal with the real-time information on manufacturing processes. On this basis, by defining the driven mechanism, the decision scheme and the performance evaluation index of rescheduling, the decision method of rescheduling in discrete workshop facing the costing is put forward; …
Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan
Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan
Journal of System Simulation
Abstract: Considering the influence of heterogeneous travel on traffic flow distribution, the travelers’ route choice behaviors are classified into three types: price regulation, quantity regulation and price-quantity regulation. Three day-to-day dynamical stochastic assignment models based on the disequilibrium theory are established, and the existence, uniqueness, and stability of the solutions to these models are proved. Through model simulation, it proved that each path flow in these three models can converge to a steady state after a finite travel adjustment, and the day-to-day dynamical stochastic assignment model under price-quantity regulation can simulate the influence of heterogeneous travel behaviors on the distribution …
Linear Array Pattern Optimization Algorithm For Effective Estimation Of Optimum Particle Initial Values, Yongbin Chou, Shuchun Zhang, Yuancheng Wang, Wenlan Fan, Dexin Li
Linear Array Pattern Optimization Algorithm For Effective Estimation Of Optimum Particle Initial Values, Yongbin Chou, Shuchun Zhang, Yuancheng Wang, Wenlan Fan, Dexin Li
Journal of System Simulation
Abstract: For particle swarm optimization (PSO), all particles are always initialized randomly, but here a new initialization method is presented to improve PSO optimizer convergence performance. On the basis of desired pattern, the corresponding aperture weights are solved by analytical techniques which can to a great extent ensure that these weights are effective estimations of the current optimum particle initial values. Then they are assigned to a particle as initial values, but all other particles of the swarm are still initialized randomly. Except this new initialization step, nothing is changed in PSO optimizer. The simulation results prove that this new …
Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei
Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei
Journal of System Simulation
Abstract: Traffic flow prediction is an important component of urban intelligent transportation system. With the development of machine learning and artificial intelligence, deep learning has been applied in traffic engineering area. Gated recurrent unit (GRU) neural network is selected to predict urban traffic flow. Cross-validation method is used to explore the optimal number of gated recurrent units. The GRU model is compared with other three predictors such as support vector regression and evaluated in different performance measurements. The results show that GRU model has better performance in traffic flow prediction than the other three models.
Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu
Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu
Journal of System Simulation
Abstract: With the electric vehicles (EVs) gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers’ attention. The exploration of energy consumption of EVs has largely focused on people’s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires (DSQs), a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers’ revealed behavior and stated driving style under different …
Improved Hybrid Devs-Based Equipment Modeling Method, Jianchun Zhang, Yanyang Zeng, Wenpeng Xu, Fengju Kang
Improved Hybrid Devs-Based Equipment Modeling Method, Jianchun Zhang, Yanyang Zeng, Wenpeng Xu, Fengju Kang
Journal of System Simulation
Abstract: Aiming at the shortcoming of model reuse and extensibility in the existing underwater warfare simulations, a hybrid modeling method based on improved hybrid DEVS (IHDEVS) is proposed. By analyzing the characteristics of combat in the underwater warfare, the event driven engagement process is constructed. From the two dimensions of entity function and behavior abstraction, a model classification strategy based on separation of concerns is designed, and a universal entity model framework is built based on the IHDEVS modeling theory, including layers of the interaction architecture, the coupling model and the atomic model. A typical example shows that this …
Research On Classification Based On Autoencoder Combination Features Extraction Method, Congcong Gu, Wang Yan, Dahu Yan, Zhicheng Ji
Research On Classification Based On Autoencoder Combination Features Extraction Method, Congcong Gu, Wang Yan, Dahu Yan, Zhicheng Ji
Journal of System Simulation
Abstract: For the problem that autoencoder can not obtain class information according to labels during the unsupervised training process, to improve the recognition accuracy, stacked class denoising autoencoder(SCDAE) is proposed to extract class information, and autoencoder combination features extraction method is adapted to extract combination features for classification. The method builds a stacked denoising autoencoder(SDAE) and a SCDAE. The method fine-tunes SDAE and SCDAE to form a combined model (CM). The combination features containing main information of the input data and class information are acquired through CM, and they are further used for classification. MNIST and USPS handwritten database are …