基于知识的系统与神经网络及应用的融合

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI:10.1109/KES.1997.616850

R. Khosla, T. Dillon

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引用次数: 5

摘要

神经网络和符号知识系统各有优缺点。融合这两种范式的智能系统克服了每一种范式的大量弱点。文献中有许多不同的方法(包括作者自己小组的研究)来融合这些范式。本文对这些方法进行了批判性的评价。

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Fusion of knowledge-based systems and neural networks and applications

Neural Networks and Symbolic Knowledge-Based Systems each have their strengths and weaknesses. Intelligent Systems that fuse these two paradigms overcome a significant number of the weaknesses of each individual paradigm. There are many different approaches in the literature (including research from the author's own group) to fusing these paradigms. A critical evaluation of these approaches is given within the paper.

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Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97

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