Online probabilistic learning for fuzzy inference system

• Main Authors: OENTARYO, Richard Jayadi, ER, Meng Joo, LINN, San, LI, Xiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Adaptive resonance theory; Bayes' rule; Kalman filter; Neuro-fuzzy system; Online learning; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3250; https://ink.library.smu.edu.sg/context/sis_research/article/4252/viewcontent/Online_probabilistic_learning_for_fuzzy_inference_pv.pdf
• Institution: Singapore Management University

Online learning is a key methodology for expert systems to gracefully cope with dynamic environments. In the context of neuro-fuzzy systems, research efforts have been directed toward developing online learning methods that can update both system structure and parameters on the fly. However, the cur...