Fuzzy logic and neural techniques integration: An application to remotely sensed data

被引：6

作者：

Blonda, P

Bennardo, A

Satalino, G

Pasquariello, G

机构：

[1] Ist. Elaborazione Segnali ed I., I.E.S.I-C.N.R., 70126 Bari

来源：

PATTERN RECOGNITION LETTERS | 1996年 / 17卷 / 13期

关键词：

neuro-fuzzy; fuzzy logic; neural networks; remotely sensed data classification;

D O I：

10.1016/S0167-8655(96)00091-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper reviews the most recent proposals on the integration of fuzzy and neural networks techniques. First, it focuses on the strategies developed and employed for the fuzzification of neural network architectures. Then it applies an unsupervised fuzzy architecture to the analysis of remotely sensed data and compares the results with those obtained by means of a conventional neural model.

引用

收藏

页码：1343 / 1348

页数：6

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