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die Grundlagen der Fuzzy Logic und der Neuronalen Netzwerke, aktuell eingesetzte Neuro-Fuzzy-Methoden sowie Anwendungen und Realisierungen in der Praxis.;
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This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro;
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Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;
Vergelijkbare producten zoals Fuzzy and Neuro-Fuzzy Systems in Medicine
Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;
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neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and;
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of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You'll review;
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Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a;
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Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a;
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Neuro-Fuzzy Inference System (ANFIS), Gaussian Process Regression (GPR), Relevance Vector Machine (RVM), Extreme Learning Machine (ELM). Chapter;
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, neuro-fuzzy systems, fuzzy control systems, fuzzy modeling, fuzzy mathematical morphology, fuzzy dynamical systems, time series forecasting, and;
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first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope;
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used to explain the happiness index. In order to represent the applications of fuzzy set theory as well as neuro-fuzzy in industry, a;
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Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new;
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include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning-machine learning, fuzzy logic in data;
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problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and;
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networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes;
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the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy;
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, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI;
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This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort;
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This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination;
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important related topics Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for;
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modeling, neuro-fuzzy learning management systems, and quality of interaction.;
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recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by;
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Dieses Buch vermittelt einen grundlichen Einblick in den aktuellen Stand der Fuzzy-Entscheidungstheorie und der linearen Fuzzy-Optimierung;
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and innovative handling of problems. This book showcases the combination of fuzzy logic and neural networks known as a neuro-fuzzy system;
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