Название: Advances in Intelligent Computing Автор: J. K. Mandal and Paramartha Dutta Издательство: Springer Серия: Studies in Computational Intelligence (Book 687) ISBN: 9811089736 Год: 2018 (2019 Edition) Страниц: 178 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB
The neologism “Intelligent Computing” encompasses the theory, design, application and development of nature-inspired computational paradigms, emphasizing neural networks, connectionist systems, genetic algorithms, evolutionary programming, fuzzy systems, metaheuristic algorithms and hybrid intelligent systems in which these paradigms are contained. Intelligent computing is an emerging area of research and has hitherto yielded a rich crop of mathematical models that are being translated into a wealth of engineering applications in recent times.
Effective modelling of real-life multi-attribute decision-making, non-rigid registration of medical images, modelling of portfolio construction for Indian stock market, network-based intrusion detection, estimation of missing entries in the rating matrix of recommender systems, detection of primary user in cooperative spectrum sensing to enhance spectrum availability information for cognitive radio applications, recognition of handwritten words in Bengali, segregation of functionally inactive genes and noise, detection of moving objects in video sequences which have been outlined in this book exhibit that even imprecision and uncertainty could be effectively utilized in solving complex problems.
This edited volume on computational intelligence algorithms-based applications includes work presented at the International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA 2017). It provides the latest research findings on the significance of computational intelligence and related application areas. It also introduces various computation platforms involving evolutionary algorithms, fuzzy logic, swarm intelligence, artificial neural networks and several other tools for solving real-world problems. It also discusses various tools that are hybrids of more than one solution framework, highlighting the theoretical aspects as well as various real-world applications.
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Learning Systems: From Theory to Practice Название: Learning Systems: From Theory to Practice Автор: Vassil Sgurev, Vincenzo Piuri Издательство: Springer Серия: Studies in Computational...
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Advances in Intelligent Computing 
