Neural Network for Solving Constrained Convex Optimization Problems with Global Attractivity

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：hyz012

【摘要】

：

　　In this paper,we propose a neural network modeled by a differential inclusion to solve a class of nonsmooth convex optimization problems.By the regularizati

【作者】

：

BianWei;

【机构】

：

Harbin Inst.of Tech.

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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　　In this paper,we propose a neural network modeled by a differential inclusion to solve a class of nonsmooth convex optimization problems.By the regularization item,without any estimatione on the exact penalty parameters,the solution of proposed network is convergent to the optimal solution set of optimization problem.

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Neural Network for Solving Constrained Convex Optimization Problems with Global Attractivity

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