INFLUENCE AND ANALYSIS OF ARTIFICIAL NEURAL NETWORK’S PARAMETERS ON SYSTEM IDENTIFICATION ACCURACY AND DETERMINATION METHOD OF
PARAMETERS

Yang Weibin¹  Wu Guangqiang¹ Qin Datong²  Ju Lijuan³  Wu Xiaoqing¹  Qiu Xuyun¹

(1. College of Automotive, Tongji University,Shanghai 201804;

2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044;

3. College of Mechanicl Engineering,Tongji University, Shanghai 201804)

Abstract: Influences of artificial neural network,s(ANN) parameters including number of hidden layers and nodes, initial weights, initial biases and the determination methods of the training set to the accuracy of system identification, based on the experiment data of the exemplified system, are analyzed. Based on matlab toolbox, nest of programming method，which considers the interaction among the parameters and can help gain optimal parameters of ANN, is presented. In addition, a method that converts a multi-input system to a one-input system and then establishes its model using ANN is also presented. According to these methods, model of the exemplified system is established and satisfactory result is obtained.

Key words:Artificial neural network  Parameters  System identification accuracy  Influence and analysis  Determination method

CLC No: TG156

上海汽车工业总公司(0308) 、上海市教委曙光计划(02SGU8)资助项目. Received 20050517, received in revised form 20050905