Adaptive Neuro-Fuzzy Inference System Predictor with an Incremental Tree Structure Based on a Context-Based Fuzzy Clustering Approach

We propose an adaptive neuro-fuzzy inference system (ANFIS) with an incremental tree structure based on a context-based fuzzy C-means (CFCM) clustering process. ANFIS is a combination of a neural network with the ability to learn, adapt and compute, and a fuzzy machine with the ability to think and...

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Autors principals:	Chan-Uk Yeom, Keun-Chang Kwak
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-11-01
Col·lecció:	Applied Sciences
Matèries:	adaptive neuro-fuzzy inference system (ANFIS) context-based fuzzy C-means (CFCM) clustering fuzzy trees incremental fuzzy inference system
Accés en línia:	https://www.mdpi.com/2076-3417/10/23/8495
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