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Artificial Neural Networks

An Introduction to ANN Theory and Practice

P.J. Braspenning, F. Thuijsman, A.J.M.M. Weijters (Herausgeber)

Buch | Softcover

IX, 299 Seiten

1995
Springer Berlin (Verlag)
978-3-540-59488-8 (ISBN)

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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.

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.

Erscheint lt. Verlag	2.6.1995
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	IX, 299 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 233 mm
Gewicht	438 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Artificial Neural Networks • combinatorial optimization • kohonen-networks • Kohonen-Netze • Kombinatorische Optimierung • Künstliche Intelligenz • Künstliche Neuronale Netze • Mustererkennung • Neuronale Netze • Operations Research • Optimization • optimization networks • pattern recognition • robot • Robotics • Software engineering
ISBN-10	3-540-59488-4 / 3540594884
ISBN-13	978-3-540-59488-8 / 9783540594888
Zustand	Neuware