By Pritpal Singh
This e-book studies on an in-depth examine of fuzzy time sequence (FTS) modeling. It studies and summarizes past learn paintings in FTS modeling and in addition offers a short creation to different soft-computing strategies, resembling synthetic neural networks (ANNs), tough units (RS) and evolutionary computing (EC), targeting how those options will be built-in into various levels of the FTS modeling process. particularly, the ebook describes novel tools 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 could be effectively utilized within the context of predicting Indian summer time monsoon rainfall. because of its easy-to-read type and the transparent factors of the versions, the e-book can be utilized as a concise but entire reference consultant to fuzzy time series modeling, and should be necessary not just for graduate scholars, but in addition for researchers and execs operating for tutorial, enterprise and govt organizations.
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Extra 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