By Pritpal Singh
This booklet studies on an in-depth research of fuzzy time sequence (FTS) modeling. It experiences and summarizes past examine paintings in FTS modeling and in addition offers a short advent to different soft-computing suggestions, equivalent to man made neural networks (ANNs), tough units (RS) and evolutionary computing (EC), targeting how those strategies may be built-in into various stages of the FTS modeling procedure. particularly, the publication describes novel equipment because of 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 season monsoon rainfall. due to its easy-to-read variety and the transparent reasons of the versions, the ebook can be utilized as a concise but complete reference advisor to fuzzy time series modeling, and should be worthy not just for graduate scholars, but additionally for researchers and execs operating for educational, enterprise 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