ANNEALED CHAOTIC LEARNING FOR TIME SERIES PREDICTION IN IMPROVED NEURO-FUZZY NETWORK WITH FEEDBACKS

DOI10.1142/S1469026809002680zbMath1185.68579MaRDI QIDQ3401068

Zheng Tang, Catherine Vairappan, Hiroki Tamura, Shangce Gao

Publication date: 28 January 2010

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

zbMATH Keywords

time series predictionneuro-fuzzyannealed chaotic

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

• Unnamed Item
• An identification algorithm in fuzzy relational systems
• Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
• The evaluation of fuzzy models derived from experimental data
• A self-adaptive neural fuzzy network with group-based symbiotic evolution and its prediction applications
• Fuzzy Model Identification and Self-Learning for Dynamic Systems
• Deterministic Nonperiodic Flow
• Time series analysis using normalized PG-RBF network with regression weights

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