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


Kluwer Academic Middleware Networks Concept Design and Deployment of Internet Infrastructure. Intelligent Control and Automation (but not limited to): Mathematical modeling and analysis of complex systems. Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf. Thereafter, different soft computing techniques like neural networks, genetic algorithms, and hybrid approaches are discussed along with their application to gene prediction. Support Vector Machines Neural network applications. Subsequently, a theoretical analysis of these techniques is . In this work three supervised classification methods, support vector machine (SVM), artificial neural network (ANN), and decision tree (DT), are used for classification task. Learning and Soft Computing (Support Vector Machines, Neural Networks and Fuzzy Logic Models)*. Fuzzy Systems, fuzzy logic and possibility theory Computational economics. Lisp - A Practical Theory of Programming - Eric C.R. Learning theory (supervised/ unsupervised/ reinforcement learning) Knowledge based networks. Implementation issues of neural networks. Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf.