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OverviewThis book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications. Full Product DetailsAuthor: Oscar Castillo , Dipak Kumar Jana , Debasis Giri , Arif AhmedPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2020 Volume: 863 Weight: 1.389kg ISBN: 9783030341541ISBN 10: 3030341542 Pages: 903 Publication Date: 01 February 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsFractional order generalized EOQ model with demand-dependent unit purchasing cost under space constraints.- Prediction of maximum oil-yield from almond seed in a chemical industry: A novel type-2 fuzzy logic approach.- Interval type-2 fuzzy logic and its application to profit solid transportation problem in mustard oil industry.- Novel derivations and application of complex LR numbers on fully fuzzy complex linear system.- A heuristic approach for cluster TSP.- Superconvergence of iterated Galerkin method for a class of nonlinear Fredholm integral equations.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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