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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

[tab] [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] [/tab]

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