Abstract
This article presents a neural network approach for human reasoning. It is based on a three-valued Boolean logic. We will first laying down the foundations for study of a neural logic and represent it by a neural logic network. We than realize the process of reasoning by the structure of a neuro model. The nodes represents the function of reasoning and the connection weights the parameter of reasoning. The model is close to realization of the particular application. The goal of this research is to develop a reasoning system capable of human reasoning based on neural logic network.
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© 1999 Springer-Verlag Berlin Heidelberg
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Yasdi, R. (1999). Reasoning with Neural Logic Networks. In: Zhong, N., Skowron, A., Ohsuga, S. (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. Lecture Notes in Computer Science(), vol 1711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48061-7_41
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DOI: https://doi.org/10.1007/978-3-540-48061-7_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66645-5
Online ISBN: 978-3-540-48061-7
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