The book covers the theory and application of soft computing techniques; namely neural networks, fuzzy logic, evolutionary computing and complex systems. The book is a collection of selected, edited papers presented at the 4th conference RACS Recent Advances in Soft Computing held in Nottingham, December 2002. It provides the latest developments in applications of soft computing techniques as well as advances in theoretical aspects of soft computing.
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The book covers the theory and application of soft computing techniques namely; neural networks, fuzzy logic, evolutionary computing and complex systems. The book is a collection of selected, edited papers presented at the 4th conference RACS Recent Advances in Soft Computing held in Nottingham, December 2002. It provides the latest developments in applications of soft computing techniques as well as advances in theoretical aspects of soft computing.
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Temporal sequence processing (TSP) is an increasingly important field for neural networks, with applications ranging from weather forecasting to speech recognition [1]. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
best partial sequence, maximal vigilance, query generation strategies, common rule base, attractor performance, multistage neural networks, learning control method, selective sampling methods, ensemble candidates, linguistic ranking, scene cut detection, second training set, domination map, unlabelled data, prefiltering technique, outdoor data, linguistic summaries, synchronisation model, least generalization, precisiated natural language, fuzzy ranking, iterative learning control, peer ranking, small disjuncts, noise cluster Key Phrases - Capitalized Phrases (CAPs): (learn more)
Soft Learning, Computational Intelligence, United Kingdom, Springer Verlag, Morgan Kaufmann, Information Retrieval, John Wiley, World Congress, Artificial Immune Systems, Barry O'Sullivan, José Félix Costa, Labelled Only, Level Control Problem, Neural Computation, Neural Information Processing Systems, Paulo Carreira, University of Kent, Adaptive Resonance Theory, Bita Khandzad, Elham Ashoori, Farhad Oroumchian, Inductive Logic Programming, Integrated Square Error, Journal of Physics, Localised Mixtures of Experts New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Temporal sequence processing (TSP) is an increasingly important field for neural networks, with applications ranging from weather forecasting to speech recognition [1]. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
best partial sequence, maximal vigilance, query generation strategies, common rule base, attractor performance, multistage neural networks, learning control method, selective sampling methods, ensemble candidates, linguistic ranking, scene cut detection, second training set, domination map, unlabelled data, prefiltering technique, outdoor data, linguistic summaries, synchronisation model, least generalization, precisiated natural language, fuzzy ranking, iterative learning control, peer ranking, small disjuncts, noise cluster Key Phrases - Capitalized Phrases (CAPs): (learn more)
Soft Learning, Computational Intelligence, United Kingdom, Springer Verlag, Morgan Kaufmann, Information Retrieval, John Wiley, World Congress, Artificial Immune Systems, Barry O'Sullivan, José Félix Costa, Labelled Only, Level Control Problem, Neural Computation, Neural Information Processing Systems, Paulo Carreira, University of Kent, Adaptive Resonance Theory, Bita Khandzad, Elham Ashoori, Farhad Oroumchian, Inductive Logic Programming, Integrated Square Error, Journal of Physics, Localised Mixtures of Experts New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 63
books:
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2
books
cite this book:
- Machine Learning by Tom M. Mitchell on page 232, page 245, and page 248
- Neural Networks (Grassroots) by Philip Picton on page 30, page 38, and page 48
- Statistical Learning Theory by Vladimir N. Vapnik on page 162, and page 254
- Advances in Neural Information Processing Systems 12 by Sara A. Solla on page 52, and page 162
- Computational Intelligence in Theory and Practice (Advances in Intelligent and Soft Computing) by Bernd Reusch in Front Matter, and page 110
See all 63 books this book cites
- Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods (Studies in Fuzziness and Soft Computing) by Bogdan Gabrys on page 17
- Fuzzy Control: Fundamentals, Stability and Design of Fuzzy Controllers (Studies in Fuzziness and Soft Computing) by Kai Michels in Index
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