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OverviewThis book discusses developments, methods and applications of soft computing. Chapter One depicts the increasing efficiency of the soft computing algorithms and fuzzy information processing models by developing a library of universal analytic models for fuzzy arithmetic operations with asymmetrical triangular fuzzy numbers (TrFNs). Chapter Two examines the determination of stability number of layered slope using Adaptive Neuro-Fuzzy Inference System (ANFIS), Gaussian Process Regression (GPR), Relevance Vector Machine (RVM), Extreme Learning Machine (ELM). Chapter Three discusses the intensive developing of Soft Computing systems especially Wavelet-Neuro-Fuzzy Systems (WNFS) in Dynamic Data Mining tasks, when the data are fed sequentially to the processing in on-line mode. Full Product DetailsAuthor: Alan CaseyPublisher: Nova Science Publishers Inc Imprint: Nova Science Publishers Inc Weight: 0.358kg ISBN: 9781634851336ISBN 10: 1634851331 Pages: 76 Publication Date: 01 May 2016 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPreface; Reduced Library of the Soft Computing Analytic Models for Arithmetic Operations with Asymmetrical Fuzzy Numbers; Determination of Stability Number of Layered Slope Using ANFIS, GPR, RVM & ELM; Multilayer Wavelet-Neuro-Fuzzy Systems in Dynamic Data Mining Tasks; Index.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |