By Pritpal Singh
This publication reviews on an in-depth examine of fuzzy time sequence (FTS) modeling. It experiences and summarizes prior examine paintings in FTS modeling and likewise offers a short advent to different soft-computing recommendations, similar to man made neural networks (ANNs), tough units (RS) and evolutionary computing (EC), targeting how those thoughts should be built-in into varied levels of the FTS modeling method. particularly, the publication describes novel equipment caused by 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. because of its easy-to-read sort and the transparent causes of the types, the e-book can be utilized as a concise but finished reference advisor to fuzzy time series modeling, and may be worthy not just for graduate scholars, but additionally for researchers and execs operating for educational, enterprise 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