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人工神经网络和遗传算法在导热反问题中的应用
引用本文:王秀春,智会强. 人工神经网络和遗传算法在导热反问题中的应用[J]. 河北工业大学学报, 2004, 33(2): 171-176
作者姓名:王秀春  智会强
作者单位:河北上业大学,能源与环境工程学院,天津,300132;公安部天津消防研究所,天津,300381
摘    要:论述了导热反问题在工程实际中的重要性,分析了引入新算法的必要性,简要介绍了人工神经网络和遗传算法;给出了用人工神经网络和遗传算法求解导热反问题的理论基础,建立了用两者求解导热反问题的数学模型,并对作者前期研究的求解结果做了必要分析.综合分析和前期研究结果表明将人工神经网络和遗传算法应用于导热反问题具有重要的理论意义和应用价值,有可能形成一个新的交叉学科,必将对导热反问题的研究起到巨大的推动作用.

关 键 词:导热反问题  人工神经网络  遗传算法  交叉学科
文章编号:1007-2373(2004)02-0171-06
修稿时间:2004-03-23

Application of Artificial Neural Networks and Genetic Algorithms in Inverse Heat Conduction Problems
WANG Xiu-chun,ZHI Hui-qiang. Application of Artificial Neural Networks and Genetic Algorithms in Inverse Heat Conduction Problems[J]. Journal of Hebei University of Technology, 2004, 33(2): 171-176
Authors:WANG Xiu-chun  ZHI Hui-qiang
Abstract:The importance of inverse heat conduction problems in engineering is discussed.The necessity of inducing the new algorithm is developed,and the artificial neural networks and the genetic algorithms are introduced.The theoretical basis of solving inverse heat conduction problems with neural networks and genetic algorithms are provided,and the mathematic models are provided,and the results of early research is analyzed.The comprehensive analysis and the research results show that it has important theory significance and application value to apply the neural networks and genetic algorithms to the inverse heat conduction problems,and may become a new cross course,it must be a vast motivation to the research of the inverse heat conduction problems.
Keywords:inverse heat conduction problems  artificial neural networks  genetic algorithms  cross course
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