Abstract:
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To optimize the technique parameters of the production of cold rolled ribbed steel wires and bars effectively,we use the artificial neural network and genetic algorithm to simulate and analyze the reflect relationship of non-linear,multi input and multi target between the properties and the parameters.,We have formed the thoughts from which we can transform multi functions to sole function so as to optimize the technique parameters for all the functions.At the same time,we make all the targets getting best level as possible as we can.From it, we have got the very satisfied optimized results about the complex engineering projects.And we have gained the rational technique parameters of the production of the cold rolled ribbed steel wires and bars.
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Funds:
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江西省科技攻关资助项目
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AuthorIntro:
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Reference:
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[1]谢克非,周天瑞,李军红.基于人工神经网络冷轧带肋钢筋工艺轧制工艺的优化设计[J].锻压技术,2004,(2):36 38.
[2](美)雷欧(Rao,S.S.)著,祁载康,等译.工程优化原理及应用[M].北京:北京理工大学出版社,1990.
[3]北京大学数学力学系数学专业概率统计组.正交设计:一种安排多因素试验的数学方法[M].北京:人民教育出版社,1977.
[4]王永骥,涂健.神经元网络控制[M].北京:机械工业出版社,1998.
[5]飞思科技产品研发中心.MATLAB 6.5辅助神经网络分析与设计[M].北京:电子工业出版社,2003.
[6]飞思科技产品研发中心.MATLAB 6.5辅助优化计算与设计[M].北京:电子工业出版社,2003.
[7]刘勇,康立山,陈毓屏.非数值并行算法,第二册:遗传算法[M].北京:科学出版社,1995.
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