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

作     者：Blonda, P Bennardo, A Satalino, G Pasquariello, G 

作者机构：Istituto Elaborazione Segnali ed Immagini I.E.S.I-C.N.R. Via Amendola 166/5 70126 Bari Italy 

出 版 物：《PATTERN RECOGNITION LETTERS》 (模式识别快报)

年 卷 期：1996年第17卷第13期

页      面：1343-1348页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：neuro-fuzzy fuzzy logic neural networks remotely sensed data classification 

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.