| 用神经网络解多元非线性方程组 |
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| 引用本文： | 吴灵敏,柳重堪.用神经网络解多元非线性方程组[J].北京交通大学学报(自然科学版),1997(2). |
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| 作者姓名： | 吴灵敏 柳重堪 |
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| 作者单位： | 北方交通大学数学系(吴灵敏)，北京航空航天大学数学系(柳重堪) |
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| 摘 要： | 给出前人人工神经网络逼近性理论，得到用人工神经网络可逼近任意给定的连续函数，并通过计算机对一些非线性函数进行模拟，模拟结果表明这种方法的可行性．给出用人工神经网络解多元非线性方程组的原理
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| 关 键 词： | 神经网络 逼近 非线性函数 |
Solving Nonlinear Multivariable Equation Systems by Neural Networks |
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| Wu Lingming.Solving Nonlinear Multivariable Equation Systems by Neural Networks[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,1997(2). |
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| Authors: | Wu Lingming |
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| Abstract: | The former theory of artificial neural networks approximation is concluded this paper. An arbitrary continuous function can be approximated by using artificial neural network. Making use of computers, nonlinear function can be simulated.Examples and results demonstrate that the effectiveness of this method is good. In addition, solving nonlinear multivarial equation systems are given by artificial neural networks. |
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| Keywords: | neural networks\ approximation\ nonlinear function |
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