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An execution system of logic programming language using neural networks-an improvement of the transformation algorithm

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3 Author(s)
Kikuchi, Y. ; Dept. of Electr. Syst. Eng., Tokyo Metropolitan Inst. of Technol., Japan ; Murakoshi, H. ; Funakubo, N.

We propose an execution system for a logic programming language using neural networks. We transform the style like logic programming language into a Hopfield-type neural network and attempt to execute the logic programming language using the ability of the neural network as an optimization machine. Although we have proposed such a system, previous works have not implemented “list processing”. Therefore we propose an improved transformation algorithm for “list processing”. The performance of the new transformation algorithm is evaluated by comparing it with a previous algorithm, without handling list structure, for a logic programming language. The result shows that the proposed algorithm generates an especially smaller network scale than a conventional algorithm, and reduces iteration times

Published in:

Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE  (Volume:1 )

Date of Conference:

31 Aug-4 Sep 1998