Combination of online clustering and Q-value based GA for reinforcement fuzzy system design.

This paper proposes a combination of online clustering and Q-value based genetic algorithm (GA) learning scheme for fuzzy system design (CQGAF) with reinforcements. The CQGAF fulfills GA-based fuzzy system design under reinforcement learning environment where only weak reinforcement signals such as...

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Veröffentlicht in:	IEEE Transactions on fuzzy systems 13, 3 (2005).
1. Verfasser:	Chia-Feng Juang
Format:	Artikel
Sprache:	English
Schlagworte:	Q-value based genetic algorithms. Cart-pole balancing. Chaotic system control. Magnetic levitation. Online clustering. Reinforcement fuzzy system design. Reinforcement learning.