By Pritpal Singh
This publication experiences on an in-depth learn of fuzzy time sequence (FTS) modeling. It stories and summarizes earlier learn paintings in FTS modeling and likewise offers a short creation to different soft-computing concepts, corresponding to synthetic neural networks (ANNs), tough units (RS) and evolutionary computing (EC), concentrating on how those suggestions should be built-in into diverse levels of the FTS modeling strategy. particularly, the ebook describes novel tools because of the hybridization of FTS modeling techniques with neural networks and particle swarm optimization. It additionally demonstrates how a brand new ANN-based version may be effectively utilized within the context of predicting Indian summer time monsoon rainfall. because of its easy-to-read sort and the transparent motives of the types, the e-book can be utilized as a concise but accomplished reference consultant to fuzzy time series modeling, and should be priceless not just for graduate scholars, but in addition for researchers and execs operating for tutorial, company and executive organizations.
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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing) by Pritpal Singh