Application of Computational Intelligence on Fitting of Micro-drills Main Lips

摘要：

A new approach based on BP neural network integrated witb genetic algorithm for fitting of micro-drills main lips is presented. The network structure is designed according to fitting equation, coordinates of microdrill sampled points and constant I are taken as 3 inputs of network, I output is obtained, and the square of errors between the output and constant 0 is taken as performance index. Weights between input neurons and output neuron are tuned in the light of gradient descent mean, and stable weight values are obtained until the desired performance index is reached. In order to obtain global optimal solution, genetic algorithm is integrated in the linear BP NN, and expression coefficients of main lips line can be solved according to the weigh. Thus chips depth of micro-drills main lips can be measured easily. The approach has advantages of algorithm simple and higher precision over conventional approaches such as least square means and so on.

关键词： Computational Intelligence BP Neural Network Genetic Algorithm Micro-Drill Main Lips Chips

作者: GE Dong-Yuan YAO Xi-Fan JIANG Shi-ming

作者单位: Department of Mechanical and Energy Engineering. Shaoyang University, Shaoyang China School of Mech Department of Information Engineering Shaoyang University, Shaoyang,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 795-799

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）