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Artificial Neural Networks [electronic resource] : An Introduction to ANN Theory and Practice /
This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.
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| Main Authors: | , , , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Berlin, Heidelberg : Springer Berlin Heidelberg,
1995
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| Subjects: | Computer science., Software engineering., Computers., Artificial intelligence., Pattern recognition., Numerical analysis., Computer Science., Artificial Intelligence (incl. Robotics)., Software Engineering/Programming and Operating Systems., Theory of Computation., Computation by Abstract Devices., Numerical Analysis., Pattern Recognition., |
| Online Access: | http://dx.doi.org/10.1007/BFb0027019 |
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KOHA-OAI-TEST:1849322018-07-30T23:06:36ZArtificial Neural Networks [electronic resource] : An Introduction to ANN Theory and Practice / Braspenning, P. J. editor. Thuijsman, F. editor. Weijters, A. J. M. M. editor. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg,1995.engThis book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.Introduction: Neural networks as associative devices -- Backpropagation networks for Grapheme-Phoneme conversion: A non-technical introduction -- Back Propagation -- Perceptrons -- Kohonen network -- Adaptive Resonance Theory -- Boltzmann Machines -- Representation issues in Boltzmann machines -- Optimisation networks -- Local search in combinatorial optimization -- Process identification and control -- Learning controllers using neural networks -- Key issues for successful industrial neural-network applications: An application in geology -- Neural cognodynamics -- Choosing and using a neural net.This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.Computer science.Software engineering.Computers.Artificial intelligence.Pattern recognition.Numerical analysis.Computer Science.Artificial Intelligence (incl. Robotics).Software Engineering/Programming and Operating Systems.Theory of Computation.Computation by Abstract Devices.Numerical Analysis.Pattern Recognition.Springer eBookshttp://dx.doi.org/10.1007/BFb0027019URN:ISBN:9783540492832 |
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COLPOS |
| collection |
Koha |
| country |
México |
| countrycode |
MX |
| component |
Bibliográfico |
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| tag |
biblioteca |
| region |
America del Norte |
| libraryname |
Departamento de documentación y biblioteca de COLPOS |
| language |
eng |
| topic |
Computer science. Software engineering. Computers. Artificial intelligence. Pattern recognition. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Theory of Computation. Computation by Abstract Devices. Numerical Analysis. Pattern Recognition. Computer science. Software engineering. Computers. Artificial intelligence. Pattern recognition. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Theory of Computation. Computation by Abstract Devices. Numerical Analysis. Pattern Recognition. |
| spellingShingle |
Computer science. Software engineering. Computers. Artificial intelligence. Pattern recognition. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Theory of Computation. Computation by Abstract Devices. Numerical Analysis. Pattern Recognition. Computer science. Software engineering. Computers. Artificial intelligence. Pattern recognition. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Theory of Computation. Computation by Abstract Devices. Numerical Analysis. Pattern Recognition. Braspenning, P. J. editor. Thuijsman, F. editor. Weijters, A. J. M. M. editor. SpringerLink (Online service) Artificial Neural Networks [electronic resource] : An Introduction to ANN Theory and Practice / |
| description |
This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM. |
| format |
Texto |
| topic_facet |
Computer science. Software engineering. Computers. Artificial intelligence. Pattern recognition. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Theory of Computation. Computation by Abstract Devices. Numerical Analysis. Pattern Recognition. |
| author |
Braspenning, P. J. editor. Thuijsman, F. editor. Weijters, A. J. M. M. editor. SpringerLink (Online service) |
| author_facet |
Braspenning, P. J. editor. Thuijsman, F. editor. Weijters, A. J. M. M. editor. SpringerLink (Online service) |
| author_sort |
Braspenning, P. J. editor. |
| title |
Artificial Neural Networks [electronic resource] : An Introduction to ANN Theory and Practice / |
| title_short |
Artificial Neural Networks [electronic resource] : An Introduction to ANN Theory and Practice / |
| title_full |
Artificial Neural Networks [electronic resource] : An Introduction to ANN Theory and Practice / |
| title_fullStr |
Artificial Neural Networks [electronic resource] : An Introduction to ANN Theory and Practice / |
| title_full_unstemmed |
Artificial Neural Networks [electronic resource] : An Introduction to ANN Theory and Practice / |
| title_sort |
artificial neural networks [electronic resource] : an introduction to ann theory and practice / |
| publisher |
Berlin, Heidelberg : Springer Berlin Heidelberg, |
| publishDate |
1995 |
| url |
http://dx.doi.org/10.1007/BFb0027019 |
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1756265302512893952 |