By Pritpal Singh

This publication reviews on an in-depth learn of fuzzy time sequence (FTS) modeling. It experiences and summarizes past examine paintings in FTS modeling and likewise presents a short creation to different soft-computing suggestions, corresponding to man made neural networks (ANNs), tough units (RS) and evolutionary computing (EC), concentrating on how those ideas may be built-in into diversified levels of the FTS modeling process. specifically, the e-book describes novel tools due to the hybridization of FTS modeling methods with neural networks and particle swarm optimization. It additionally demonstrates how a brand new ANN-based version could be effectively utilized within the context of predicting Indian summer season monsoon rainfall. due to its easy-to-read kind and the transparent motives of the types, the publication can be utilized as a concise but accomplished reference advisor to fuzzy time series modeling, and should be invaluable not just for graduate scholars, but additionally for researchers and execs operating for educational, enterprise and executive organizations.


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