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  • 标题:Logic Programming In Neural Networks
  • 本地全文:下载
  • 作者:Wan Ahmad Tajuddin bin Wan Abdullah
  • 期刊名称:Malaysian Journal of Computer Science
  • 印刷版ISSN:0127-9084
  • 出版年度:1996
  • 卷号:9
  • 期号:1
  • 出版社:University of Malaya * Faculty of Computer Science and Information Technology
  • 摘要:Logic programming is carried out on a neural network. A higherorder Hopfield neural network is used to minimise logical inconsistency in interpretations of logic clauses or programs. The connection strengths are defined from the logic program; the network relaxes to neural states corresponding to a valid (or nearvalid) interpretation. 'Creativity' can be thought of as the crossing of configurational energy barriers to arrive at alternative interpretations. The formalism allows the incorporation of nonmonotonicity; nonintegral degrees of truth in rules; and nonHorn clauses. Hebbian learning in an environment with some underlying logical rules governing events is equivalent to hardwiring the network with these rules.
  • 关键词:Hopfield neural network; Higherorder connections; Logic programming; Combinatorial optimisation; Hebbian learning
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