THE COMBINATORIAL NEURAL NETWORK - A CONNECTIONIST MODEL FOR KNOWLEDGE BASED SYSTEMS

被引：0
|
作者：
MACHADO, RJ [1 ]
DAROCHA, AF [1 ]
机构：
[1] UNICAMP, INST BIOL, BR-13100 CAMPINAS, BRAZIL
来源：
LECTURE NOTES IN COMPUTER SCIENCE | 1991年 / 521卷
关键词：
NEURAL NETWORKS; LEARNING; CONNECTIONIST EXPERT SYSTEMS;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper describes the Combinatorial Neural Model, a high order neural network suitable for classification tasks. The model is based on the fuzzy sets theory, neural sciences and expert knowledge analysis results. The model presents Interesting properties such as: modularity, explanation capacity, concomitant knowledge and data representation, high speed of training, incremental learning, generalization capacity, feature selection, processing of uncertain and Incomplete data, fault tolerance.
引用
收藏
页码：578 / 587
页数：10
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