Mathematics of Neural Networks : Models, Algorithms and Applications (Operations Research/Computer Science Interfaces Series)

mathematics of neural networks : models, algorithms and applications (operations research/computer science interfaces series)

Mathematics of Neural Networks : Models, Algorithms and Applications (Operations Research/Computer Science Interfaces Series)

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Book Description
This book examines the mathematics, probability, statistics, and computational theory underlying neural networks and their applications. In addition to the theoretical work, the book covers a considerable range of neural network topics such as learning and training, neural network classifiers, memory-based networks, self-organizing maps and unsupervised learning, Hopfeld networks, radial basis function networks, and general network modelling and theory. Added to the book's mathematical and neural network topics are applications in chemistry, speech recognition, automatic control, nonlinear programming, medicine, image processing, finance, time series, and dynamics. As a result, the book surveys a wide range of recent research on the theoretical foundations of creating neural network models in a variety of application areas.

Mathematics of Neural Networks: Models, Algorithms and Applications (Operations Research/Computer Science Interfaces Series),Stephen W. Ellacott,John C. Mason,Iain J. Anderson,Springer,0792399331,Algorithms (Computer Programming),Artificial Intelligence - General,Computer Bks - General Information,Computers,Computers - General Information,General,Linear Programming,Mathematics,Neural Computing,Neural Networks,Neural networks (Computer scie,Neural networks (Computer science),Physics,Science/Mathematics,Computers / Artificial Intelligence

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