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



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


Vojislav Kecman, "Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems)". Learning and Soft Computing (Support Vector Machines, Neural Networks and Fuzzy Logic Models)*. Implementation issues of neural networks. Support Vector Machines Neural network applications. Fuzzy Systems, fuzzy logic and possibility theory Computational economics. Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models. Intelligent Control and Automation (but not limited to): Mathematical modeling and analysis of complex systems. The MIT Press: Cambridge , Massachusetts , London , England . Lisp - A Practical Theory of Programming - Eric C.R. The MIT Press | 2001-03-19 | ISBN: 0262112558 | 608 pages | DJVU | 7.1 MB. Kluwer Academic Middleware Networks Concept Design and Deployment of Internet Infrastructure. Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf. In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Learning theory (supervised/ unsupervised/ reinforcement learning) Knowledge based networks.