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.
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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