IMECH-IR  > 力学所知识产出(1956-2008)
人工神经网络技术在板料激光弯曲中的应用
Alternative TitleApplication of artificial neural network in laser sheet metal bending
王秀凤; 吕晓东; 陈光南; 胡世光
Source Publication激光技术
2005
Volume29Issue:3Pages:244-247
ISSN1001-3806
Abstract基于人工神经网络基本理论,建立在板料激光弯曲中预测材料表面最高温度、弯曲角度的BP网络模型.借助于MATLAB仿真软件中的神经网络工具箱作为开发平台,将试验样本数据和经过试验验证的数值计算结果作为补充的样本数据用于BP网络的训练,利用训练好的BP网络对非线性的样本数据规律进行拟合,实现激光加工工艺参数的优化,为实际生产和加工提供有效的依据.
Keyword人工神经网络 板料激光弯曲 表面最高温度 弯曲角度
Subject Area力学
Indexed ByEI ; CSCD
Language中文
CSCD IDCSCD:1964561
Citation statistics
Cited Times:2[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/16349
Collection力学所知识产出(1956-2008)
Recommended Citation
GB/T 7714
王秀凤,吕晓东,陈光南,等. 人工神经网络技术在板料激光弯曲中的应用[J]. 激光技术,2005,29,3,:244-247.
APA 王秀凤,吕晓东,陈光南,&胡世光.(2005).人工神经网络技术在板料激光弯曲中的应用.激光技术,29(3),244-247.
MLA 王秀凤,et al."人工神经网络技术在板料激光弯曲中的应用".激光技术 29.3(2005):244-247.
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