Learning and Soft Computing: Support Vector

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models by Vojislav Kecman

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Download Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models Vojislav Kecman ebook
Page: 576
ISBN: 0262112558, 9780262112550
Publisher: The MIT Press
Format: pdf

Fuzzy logic and fuzzy Unsupervised and reinforcement learning. Support Vector Machines Neural network applications. Kluwer Academic Middleware Networks Concept Design and Deployment of Internet Infrastructure. Connectionist theory and cognitive science. Neuroinformatics Support vector machines and kernel methods. Mathematical modeling of neural systems. Fuzzy Systems, fuzzy logic and possibility theory Computational economics. Learning and Soft Computing (Support Vector Machines, Neural Networks and Fuzzy Logic Models)*. Implementation issues of neural networks. Learning theory (supervised/ unsupervised/ reinforcement learning) Knowledge based networks. Fuzzy systems architectures and hardware. Intelligent Control and Automation (but not limited to): Mathematical modeling and analysis of complex systems.