By Pritpal Singh
This booklet studies on an in-depth learn of fuzzy time sequence (FTS) modeling. It stories and summarizes past learn paintings in FTS modeling and in addition offers a quick advent to different soft-computing options, reminiscent of man made neural networks (ANNs), tough units (RS) and evolutionary computing (EC), targeting how those strategies could be built-in into various stages of the FTS modeling strategy. specifically, the publication 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 should be effectively utilized within the context of predicting Indian summer time monsoon rainfall. because of its easy-to-read type and the transparent causes of the types, the publication can be utilized as a concise but accomplished reference advisor to fuzzy time series modeling, and should be priceless not just for graduate scholars, but additionally for researchers and pros operating for tutorial, enterprise and govt organizations.
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