L-INFINITY-NORM NEURAL-NETWORK MODEL FOR TLS PROBLEMS

被引：0

作者：

ZHANG, QF ^{[1
]}

BAO, Z ^{[1
]}

机构：

[1] XIDIAN UNIV,CTR NEURAL NETWORKS,XIAN 710071,PEOPLES R CHINA

来源：

ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS | 1995年 / 3卷 / 01期

关键词：

L(INFINITY)-NORM NEURAL NETWORK MODEL; TLS PROBLEMS; SIMULATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The L(infinity)-norm neural network model for computing TLS solutions is proposed in this paper. It is demonstrated that almost every trajectory of the proposed model tends to our desired solution. Simulation results are included to illustrate the effectiveness of the model.

引用

页码：61 / 64

页数：4

共 3 条

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