By Pritpal Singh
This publication studies on an in-depth examine of fuzzy time sequence (FTS) modeling. It studies and summarizes earlier learn paintings in FTS modeling and in addition offers a quick creation to different soft-computing options, similar to man made neural networks (ANNs), tough units (RS) and evolutionary computing (EC), targeting how those options will be built-in into diverse levels of the FTS modeling procedure. specifically, the publication describes novel equipment as a result of the hybridization of FTS modeling methods with neural networks and particle swarm optimization. It additionally demonstrates how a brand new ANN-based version might be effectively utilized within the context of predicting Indian summer time monsoon rainfall. due to its easy-to-read variety and the transparent factors of the versions, the publication can be utilized as a concise but finished reference consultant to fuzzy time series modeling, and may be important not just for graduate scholars, but in addition 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