By Pritpal Singh
This e-book reviews on an in-depth research of fuzzy time sequence (FTS) modeling. It stories and summarizes prior study paintings in FTS modeling and likewise presents a quick advent to different soft-computing ideas, resembling synthetic neural networks (ANNs), tough units (RS) and evolutionary computing (EC), targeting how those thoughts could be built-in into varied levels of the FTS modeling technique. 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 may be effectively utilized within the context of predicting Indian summer time monsoon rainfall. due to its easy-to-read type and the transparent motives of the types, the ebook can be utilized as a concise but accomplished reference advisor to fuzzy time series modeling, and may be beneficial not just for graduate scholars, but in addition for researchers and pros operating for tutorial, enterprise and executive organizations.
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Additional resources for Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing)
Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing) by Pritpal Singh