By Pritpal Singh

This publication stories on an in-depth examine of fuzzy time sequence (FTS) modeling. It experiences and summarizes past study paintings in FTS modeling and likewise offers a quick creation to different soft-computing options, akin to synthetic neural networks (ANNs), tough units (RS) and evolutionary computing (EC), targeting how those concepts will be built-in into diverse levels of the FTS modeling technique. particularly, the publication describes novel equipment because of the hybridization of FTS modeling ways 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 season monsoon rainfall. due to its easy-to-read type and the transparent motives of the types, the publication can be utilized as a concise but finished reference consultant to fuzzy time series modeling, and may be invaluable not just for graduate scholars, but additionally for researchers and pros operating for tutorial, company and govt 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


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