A NEURAL-BASED NONLINEAR L<sub>1</sub>-NORM OPTIMIZATION ALGORITHM FOR DIAGNOSIS OF NETW

来源 :电子科学学刊：英文版 | 被引量 : 0次 | 上传用户：mnbvc1c2c3

【摘要】

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Based on exact penalty function, a new neural network for solving the L1-norm optimization problem is proposed. In comparison with Kennedy and Chua’s network(1

【出处】

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电子科学学刊：英文版

【发表日期】

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1998年4期

【关键词】

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FAULT DIAGNOSIS L1-norm NEURAL OPTIMIZATION

【基金项目】

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Supported by Doctoral Special Fund of State Education Commission,the National Natural Science Foundation of China,Grant No.59477001 and No.59707002

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Based on exact penalty function, a new neural network for solving the L1-norm optimization problem is proposed. In comparison with Kennedy and Chua’s network(1988), it has better properties.Based on Bandler’s fault location method(1982), a new nonlinearly

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A NEURAL-BASED NONLINEAR L<sub>1</sub>-NORM OPTIMIZATION ALGORITHM FOR DIAGNOSIS OF NETW

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