Artificial Neural Networks
An Introduction to ANN Theory and Practice
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Beschreibung
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.
Autor*in
P.J. Braspenning
Themen in »Artificial Neural Networks«
Artificial Neural Networks Kohonen-Netze Kombinatorische Optimierung combinatorial optimization kohonen-networks operations research optimization optimization networks pattern recognition robot robotics software engineering