| 基于L-S Lagrange函数的神经网络方法 |
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| 引用本文： | 彭爱民. 基于L-S Lagrange函数的神经网络方法[J]. 湖北大学学报(自然科学版), 2012, 34(2): 231-234 |
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| 作者姓名： | 彭爱民 |
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| 作者单位： | 湖北第二师范学院数学与数量经济学院,湖北武汉,430205 |
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| 摘 要： | 利用非线性规划的Log-Sigmoid (L-S)型Lagrange函数及其对偶问题的性质,提出一种求解优化问题的神经网络方法,并讨论网络的收敛性和稳定性条件,算例表明该神经网络能有效求解.
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| 关 键 词： | L-S Lagrange函数 神经网络 渐近稳定 |
A neural network based on L-S Lagrange function |
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| PENG Aimin. A neural network based on L-S Lagrange function[J]. Journal of Hubei University(Natural Science Edition), 2012, 34(2): 231-234 |
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| Authors: | PENG Aimin |
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| Affiliation: | PENG Aimin(Department of mathematics,Hubei university of Education,Wuhan 430205,China) |
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| Abstract: | A nural network was pretended on the base of L-S Lagrange function of nonlinear programming and its dual problem.The convergence and stability were discussed and the validity of the networks was demonstrated by several numerical examples. |
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| Keywords: | L-S Lagrange function neural networks asymptoticially stable |
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