Neuro-fuzzy and soft computing: a computational

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence Chuen-Tsai Sun, Eiji Mizutani, Jyh-Shing Roger Jang
Publisher: Prentice Hall

JYH-SHING ROGER JANG, CHUEN-TSAI SUN & EIJI MIZUTANI (1997); Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall Publishers.JOHN R. Currently, a shift from traditional statistical PCA- / PLS-based techniques to more advanced approaches, like Artificial Neural Networks, kernel-based methods, Gaussian processes, Neuro-Fuzzy Systems can currently be observed in the field of soft sensor development. Neuro-fuzzy and soft computing : a computational approach to Learning and Machine Intelligence. Some recent publications also demonstrate the increasing popularity of computational intelligence and machine learning concepts like ensemble methods, local learning and meta-learning in soft sensors. Neuro-Fuzzy and Soft Computing，A Computational Approach to Learning and Machine Intelligence点评：本书为Lofti A. Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence - Jyh-Shing Roger Jang Simulating Continuous Fuzzy Systems - James J. Eduardo Arbex Aluno: Leandro Duarte Campos - Matrícula C680005 - 7º Período – 2011. (ed.) 2000 M.Dekker Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence Jang J.-S.R., Sun C.-T., Mizutani E. Download Neuro-Fuzzy and Soft Computing: A Computational Approach ebook (. Neuro – Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence Jang, Jyh-Shing Roger ; Sun, Chuen- A Text Book of Production Technology – II Khanna, O.P. Computational Methods in Surface and Colloid Science Borowko M.