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人工神经网络在水火弯板温度场热源参数预测时的应用研究

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Indexed by: Journal Article

Date of Publication: 2006-04-16

Journal: 造船技术

Included Journals: PKU

Issue: 2

Page Number: 19-21,7

ISSN: 1000-3878

Key Words: 钢板;弯曲成形;火工矫形;神经网络;工艺参数;预测

Abstract: 建立水火弯板温度场热源参数的BP神经网络,并用以预测热源模型的热效率和热源半径.将预测结果作为热流载荷施加到钢板上,应用ANSYS对水火弯板温度场进行有限元模拟计算.经算例验证,以BP网络预测结果为参数的有限元计算结果与实验测试结果基本一致,说明本文所建立的BP网络可以用来对水火弯板温度场热源模型参数进行预测.

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