Online probabilistic learning for fuzzy inference system

Online probabilistic learning for fuzzy inference system

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...

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Main Authors:	OENTARYO, Richard Jayadi, ER, Meng Joo, LINN, San, LI, Xiang
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2014
主題:	Adaptive resonance theory Bayes' rule Kalman filter Neuro-fuzzy system Online learning Databases and Information Systems Numerical Analysis and Scientific Computing
在線閱讀:	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
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機構:	Singapore Management University
語言:	English

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