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Found materials: 23

Related tags: neural, artificial, applications, recurrent, algorithms, analysis, developing, learning, chambers, goras

Books: Reversibility and Stochastic Networks
Kelly F.P., 1979

Examines the behavior in equilibrium of vector stochastic processes or stochastic networks, considering a wide range of applications by discussing stochastic models that arise in fields such as operat…

Books: An introduction to the theory of spin glasses and neural networks
Dotsenko V., 1994

An introduction to the theory of spin glasses and neural networks

Books: FACTS: Modelling and Simulation in Power Networks
Acha E., Fuerte-Esquivel C., Ambriz-Perez H., 2004

The first book to provide comprehensive coverage of FACTS power systems modeling and simulation.Detailed coverage of the development of FACTS controllers and guidance on the selection of appropriate e…

Books: Learning and soft computing. Support vector machines, neural networks, and fuzzy logic models
Kecman V., 2001

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structure…

Books: An introducion to neural networks
Krose B., van der Smagt P., 1996

This manuscript attempts to provide the reader with an insight in arti cial neural networks. Back in 1990, the absence of any state-of-the-art textbook forced us into writing our own.However, in the m…

Books: Developing IP multicast networks
Williamson B., 2000

Includes an in-depth discussion of the PIM protocol used in CISCO routers and detailed coverage of the rules that control the creation and maintenance of CISCO route state entries. Provides a solid fo…
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