Constructive granular systems with universal approximation and fast knowledge discovery.

Conventional gradient descent learning algorithms for soft computing systems have the learning speed bottleneck problem and the local minima problem. To effectively solve the two problems, the n-variable constructive granular system with high-speed granular constructive learning is proposed based on...

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Veröffentlicht in:	IEEE Transactions on fuzzy systems 13, 1 (2005).
1. Verfasser:	Yan-Qing Zhang
Format:	Artikel
Sprache:	English
Schlagworte:	Constructive granular system. Fast knowledge discovery. Gradient descent learning algorithm. Granular computing. Soft computing system. Universal approximation.