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Full-Text Articles in Life Sciences
Research On Food Parallel Robot Grasping Technology Based On Ipso-Bpnn-Pid Control, Huang Chong-Fu, Chang Yu, Liu Li-Chao
Research On Food Parallel Robot Grasping Technology Based On Ipso-Bpnn-Pid Control, Huang Chong-Fu, Chang Yu, Liu Li-Chao
Food and Machinery
Objective: In order to solve the problems of low efficiency and poor precision of parallel robot in food sorting. Methods: Based on the structure of the food sorting system, a moving target grasping strategy of delta robot based on Improved BP neural network and PID control is proposed. The improved particle swarm optimization algorithm is used to optimize the initial weight of BP neural network, and the optimized BP neural network is used to adjust the PID control parameters in real time. The performance of this method is analyzed by experiments, and its superiority is verified. Results: …
Drying Characteristics Of Chaenomeles Sinensis With Vacuum Pulsed Drying Technology Based On Bp Neural Network Mode, Ju Hao-Yu, Zhao Shi-Hao, Zhao Hai-Yan, Zhang Wei-Peng, Xiao Hong-Wei
Drying Characteristics Of Chaenomeles Sinensis With Vacuum Pulsed Drying Technology Based On Bp Neural Network Mode, Ju Hao-Yu, Zhao Shi-Hao, Zhao Hai-Yan, Zhang Wei-Peng, Xiao Hong-Wei
Food and Machinery
Objective:This study aimed to investigate the drying characteristic of Chaenomeles sinensis by using vacuum pulsed drying technology and establish BP neural network model.Methods:The single factor experiment of drying temperature (50, 60, 70 ℃), constant atmosphere time (2, 4, 8 min) and vacuum time (5, 10, 15, 20 min) on drying time, rehydration ratio, VC and general flavone content as well as microstructure of Chaenomeles sinensis during vacuum pulsed drying technology were investigated.Results:All the drying temperature, constant atmosphere time and vacuum time had significant influence on drying time(P＜0.05). The moisture effective diffusion coefficient (Deff) …
Study On Visual Judgment Method Of Fermentation Degree In Industrialized Bread Production Based On Bp Neural Network, Zhao Chun, Chen Xue-Yong, Wu Shao-Shuang, Pang Jie
Study On Visual Judgment Method Of Fermentation Degree In Industrialized Bread Production Based On Bp Neural Network, Zhao Chun, Chen Xue-Yong, Wu Shao-Shuang, Pang Jie
Food and Machinery
Objective:A BP neural network model was established to accurately determine the maturity of dough fermentation.Methods:Used machine vision technology to collect and process the pictures of bread fermentation process, obtained the quantitative information of the pictures, and a prediction model was established for bread fermentation degree based on BP neural network. Taking the time, area, instantaneous velocity, expansion rate, gray value energy, gray value relationship, gray value uniformity and gray value contrast as the input neurons, the regression model of relevant parameters was established.Results:The correlation between the above characteristic parameters and the fermentation process of bread …
Research On Alcohol Prediction Model Based On Lstm And Iga-Bp, Zhang Jian-Hua, Shang Jian-Wei, Wang Chang, Zhao Yan, Li Ke-Xiang, Li Xiang-Li
Research On Alcohol Prediction Model Based On Lstm And Iga-Bp, Zhang Jian-Hua, Shang Jian-Wei, Wang Chang, Zhao Yan, Li Ke-Xiang, Li Xiang-Li
Food and Machinery
Objective: In order to solve the problem of inaccurate detection of alcohol accuracy due to manual "flower picking" in the segmented liquor picking process. Methods: Designed and built a segmented liquor taking system based on alcohol accuracy modeling. The research collected tuning fork frequency values, tuning fork built-in temperature values, alcohol solution temperature values and pump speed values under dynamic conditions in different modes of alcohol solutions with different concentrations, implemented adaptive tuning fork frequency filtering and dynamic compensation based on least mean square algorithm (LMS) and long short-term memory network (LSTM), and built a liquor accuracy prediction model based …