Fusion of knowledge-based systems and neural networks and applications

被引：0
|
作者：
Khosla, R
Dillon, T
机构：
来源：
FIRST INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ELECTRONIC SYSTEMS, PROCEEDINGS 1997 - KES '97, VOLS 1 AND 2 | 1997年
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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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页码：27 / 44
页数：18
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