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Full-Text Articles in Engineering
Mathematical Modeling Of A Ball Mill In Gmz-2 Ngmk Based On The Diffusion Model, Y.B. Kadirov, S.B. Boybutayev, A.R. Samadov
Mathematical Modeling Of A Ball Mill In Gmz-2 Ngmk Based On The Diffusion Model, Y.B. Kadirov, S.B. Boybutayev, A.R. Samadov
Chemical Technology, Control and Management
In the mining and metallurgical industry, in addition to raw materials, the quantitative volume of technological operations has a significant impact on the cost of the extracted metal. As practice shows, the most energy-intensive process is crushing of rocks, which accounts for 30-50% of all production costs. In this connection, the management of this process is one of the main technical and economic factors in the chain of rock dressing. In this paper, the mathematical function of the ball mill MSHTs 75x55 is derived, on the basis of which a computer model is built in the SIMULINK subsystem of the …
Intelligent Information Processing Systems Based On Neural Network Technology, A.M. Mamajonov, Z.N. Mukhiddinov, N.A. Jurayeva
Intelligent Information Processing Systems Based On Neural Network Technology, A.M. Mamajonov, Z.N. Mukhiddinov, N.A. Jurayeva
Chemical Technology, Control and Management
The use of fuzzy logic in management tasks was primarily due to the increasing complexity of existing tasks. Fuzzy logic and management based on it are close to the principles of human thought. Fuzzy logic essentially provides effective means of displaying uncertainties and inaccuracies in the real world. The availability of mathematical means to reflect the fuzziness of the source information makes it possible to build a model of adequate reality.
Ecg Processing And Analysis Technique Based On Neural Network Learning Vector Quantization, Talat Madievich Magrupov, Sherzod Kalandarovich Nеmatov, Yokubjon Talatovich Talatov
Ecg Processing And Analysis Technique Based On Neural Network Learning Vector Quantization, Talat Madievich Magrupov, Sherzod Kalandarovich Nеmatov, Yokubjon Talatovich Talatov
Chemical Technology, Control and Management
The main parameters of the electrocardiogram (ECG) were processed on the basis of the neural network apparatus. A decision support algorithm for ECG analysis using a neural network for learning vector quantization is proposed. For the study was chosen such features as the duration of QRS complex, RR interval, amplitude of R-wave and the change in the slope of ST segment and heart rate, which are five inputs to the neural network learning vector quantization. Methods of pre-processing and analysis of extraction of ECG functions based on the ECG database of a medical institution in Matlab are presented. The generalized …