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Artificial Neural Networks : An Introduction to ANN Theory and Practice
























Artificial Neural Networks : An Introduction to ANN Theory and Practice


Author(s):
P. J. Braspenning, F. Thuijsman, A. J. M. M. Weijters



Collection:
Lecture Notes in Computer Science 931


Publisher:
Springer-Verlag Berlin Heidelberg


Year:
1995


Language:
English


Pages:
299 pages


Size:
2.28 MB


Extension:
DJVU





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[content title="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. [/content]

[content title="Content"] [/content]

[content title="About the author"]F. Thuijsman
Full Professor Strategic Optimization and Data Science
Member Management Team of the Department of Advanced Computing Sciences (formerly known as Data Science and Knowledge Engineering, DKE)
Member Management Team of Regitel
Initiator and coordinator of KnowledgeEngineering@Work: Started 2014, this is a unique honors programme in which the very best BSc students in Knowledge.. [/content]

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