Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models pdf
Par lombardo daniel le jeudi, juillet 14 2016, 17:45 - Lien permanent
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models by Vojislav Kecman
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Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models Vojislav Kecman ebook
Format: pdf
ISBN: 0262112558, 9780262112550
Publisher: The MIT Press
Page: 576
Fuzzy systems architectures and hardware. Fuzzy Systems, fuzzy logic and possibility theory Computational economics. This carefully edited monograph presents Incorporating probabilistic support vector machine and active learning, Chua and Feng present a bootstrapping framework for annotating the semantic concepts of large collections of images. Support Vector Machines Neural network applications. Neuroinformatics Support vector machines and kernel methods. Connectionist theory and cognitive science. The past years have witnessed a large number of interesting applications of various soft computing techniques, such as fuzzy logic, neural networks, and evolutionary computation, to intelligent multimedia processing. Implementation issues of neural networks. Fuzzy logic and fuzzy Unsupervised and reinforcement learning. Learning theory (supervised/ unsupervised/ reinforcement learning) Knowledge based networks. Intelligent Control and Automation (but not limited to): Mathematical modeling and analysis of complex systems. Mathematical modeling of neural systems.