Coupling Analysis of Manufacturing Characteristics and Mechanics Property of Microminiature Gear Mechanism Based on Neural Network

Authors:
Xin Jin;Zhijing Zhang;Fuchang Zuo;Zhongxin Li
Affiliations:
School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China 100081;School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China 100081;School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China 100081;School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China 100081
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

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On the approximate realization of continuous mappings by neural networks

Neural Networks

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Abstract

A coupling analysis method of manufacturing characteristics and mechanics property of microminiature gear mechanism based on BP neural network was proposed. By use of the existing finite element model with manufacturing characteristics, output data as BP neural network training set of samples was obtained. Through a comparative study of the effects of different network parameters settings on the precision of network model, the optimal network structure and parameters were determined and the neural network model which can approximate the mechanics property microminiature gear mechanism with high precision. This shows the nonlinear coupling relationships between input manufacturing characteristics and the output mechanical characteristics, and verifies the accuracy of the model.