Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models epub
Par gerrish nathaniel le jeudi, février 9 2017, 20:26 - Lien permanent
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 Vojislav Kecman ebook
ISBN: 0262112558, 9780262112550
Page: 576
Publisher: The MIT Press
Format: pdf
Intelligent Control and Automation (but not limited to): Mathematical modeling and analysis of complex systems. (164), Hajime Hotta, Masafumi ( 150), Hajime Hotta, Masafumi Hagiwara:“A Japanese Font Designing System Using Fuzzy-Logic-Based Kansei Database,” International Symposium on Advanced Intelligent Systems (ISIS 2005), pp.723-728, 2005-09. Learning theory (supervised/ unsupervised/ reinforcement learning) Knowledge based networks. Kluwer Academic Middleware Networks Concept Design and Deployment of Internet Infrastructure. Implementation issues of neural networks. The model produced by support vector classification (as described above) only depends on a subset of the training data, because the cost function for building the model does not care about training points that lie beyond the margin. Learning and Soft Computing (Support Vector Machines, Neural Networks and Fuzzy Logic Models)*. Vojislav Kecman, "Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems)". The MIT Press | 2001-03-19 | ISBN: 0262112558 | 608 pages | DJVU | 7.1 MB. (165), Masanobu Kittaka and Masafumi Hagiwara: “Language Processing Neural Network with Additional Learning,”International Conference on Soft Computing and Intelligent Systems & ISIS 2008, 2008-09. 12th EANN / 7th AIAI Joint Congress 2011 : 12th (IEEE-INNS) Engineering Applications of Neural Networks / 7th (IFIP) Artificial Intelligence Applications and Innovations. Fuzzy Systems, fuzzy logic and possibility theory Computational economics. Support Vector Machines Neural network applications. Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models by Vojislav Kecman.