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This book presents the necessary and essential backgrounds of fuzzy set theory and linear programming, particularly a broad range of common Fuzzy Linear Programming (FLP) models and related, convenient solution techniques.
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This book offers a comprehensive guide to the use of neutrosophic sets in multiple criteria decision making problems.
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It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more.
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It covers topics such as fuzzy intuitionistic Hilbert spaces, intuitionistic fuzzy differential equations, fuzzy intuitionistic metric spaces, and numerical methods for differential equations.
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This book provides a holistic overview of all aspects of federated AI, which allows creation of real-world applications in contexts where data is dispersed in many different locations.
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Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
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This book introduces the principle of carrying out a medium term load forecast (MTLF) at power system level, based on the Big Data concept and... Læs mere
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This book analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided.
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This book will be highly useful to researchers in the area of pattern classification and computer vision as well as for... Læs mere
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This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and... Læs mere
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Aimed at courses in computational neuroscience, theoretical biology, biophysics, or neural networks, this 2002 text will suit students of... Læs mere
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AI for Cars book provides a short-guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and on to deep learning, all within the automobile world.