精确罚函数法 Exact penalty function algorithm
Main fruit is: building a model of nonlinear neural network with exact penalty function with two parameters, bring forward a simulate algorithm to get the solution, contemporary put forward a genetic algorithm of mix for solving neural network.
本文的主要成果是：构造一个双参数精确罚函数的非线性神经网络模型，并提出了一个模拟求解算法，同时还提出一个求解这种神经网络问题的混合遗传算法。
参考来源 - 双参数精确罚函数非线性神经网络的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
文章还讨论了这种精确罚函数的一些性质定理。
This paper still gives some theorem and property about the exact penalty function.
借助不可微精确罚函数把约束问题转化为单个无约束问题来处理。
Nondifferentiable exact penalty functions are used to transform a constrained optimization problem into a single unconstrained optimization problem.
如果罚问题的极小点是原约束规划问题的极小点，则称此罚问题中的罚函数为精确罚函数。
If each minimum of the penalty problem is a minimum of the primal constrained programming problem, then the corresponding penalty function is called exact penalty function.
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