@inproceedings{b42ce4efc7cf47b78bdb0de61c9e5fec,
title = "Artificial intelligence-based tolerance assessment methods",
abstract = "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.",
keywords = "Artificial intelligence(AI), Artificial neural network(ANN), Genetic algorithm(GA), Tolerance",
author = "Rensheng Che and Changcai Cui and Dong Ye and Qingcheng Huang",
year = "2002",
language = "英语",
isbn = "7560317685",
series = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",
pages = "3/161--3/168",
editor = "T. Jiubin and W. Xianfang and T. Jiubin and W. Xianfang",
booktitle = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",
note = "Proceedings of the second International Symposium on Instrumentation Science and Technology ; Conference date: 18-08-2002 Through 22-08-2002",
}