ARTIFICIAL NEURAL NETWORKS FOR 4-COLORING MAP PROBLEMS AND K-COLORABILITY PROBLEMS - COMMENTS

被引:10
作者
TATEISHI, M
TAMURA, S
机构
来源
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 1994年 / 41卷 / 03期
关键词
D O I
10.1109/81.273927
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper gives a proof that the binary Hopfield neural network using the McCulloch-Pitts binary neuron model converges to the local minimum. In this correspondence we present a counter example to the proof and then point out the error in the proof.
引用
收藏
页码:248 / 249
页数:2
相关论文
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[1]   ARTIFICIAL NEURAL NETWORKS FOR 4-COLORING MAP PROBLEMS AND K-COLORABILITY PROBLEMS [J].
TAKEFUJI, Y ;
LEE, KC .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1991, 38 (03) :326-333