Artificial intelligence-based tolerance assessment methods

被引：0

作者：

Che, RS ^{[1
]}

Cui, CC ^{[1
]}

Ye, D ^{[1
]}

Huang, QC ^{[1
]}

机构：

[1] Harbin Inst Technol, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 3 | 2002年

关键词：

tolerance; artificial intelligence(AI); artificial neural network(ANN); genetic algorithm(GA);

D O I：

暂无

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Artificial intelligence(AI) is utilized to assess the form error on the basis of nonlinear optimization, such as artificial neural network(ANN) and genetic algorithm(GA). The ANN-based method uses the structure of network (connection, weights and nodes thresholds) to memorize the information of specific problems and fulfills the optimization assignment. And the GA-based method simulated the evolution process of struggle for survival to obtain the optimal objective. The computation results indicate that both ANN and GA are effective for nonlinear optimization of tolerance assessment.

引用

页码：161 / 166

页数：6

共 22 条

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