Pulse en una miniatura para ir a Google Books.
Cargando... Neural Networks: A Comprehensive Foundationpor Simon Haykin
Ninguno Cargando...
Inscríbete en LibraryThing para averiguar si este libro te gustará. Actualmente no hay Conversaciones sobre este libro. very good sin reseñas | añadir una reseña
Fluid and authoritative, this well-organized book represents the first comprehensive treatment of neural networks and learning machines from an engineering perspective, providing extensive, state-of-the-art coverage that will expose readers to the myriad facets of neural networks and help them appreciate the technology's origin, capabilities, and potential applications. KEY TOPICS: Examines all the important aspects of this emerging technology, covering the learning process, back propogation, radial basis functions, recurrent networks, self-organizing systems, modular networks, temporal processing, neurodynamics, and VLSI implementation. Integrates computer experiments throughout to demonstrate how neural networks are designed and perform in practice. Chapter objectives, problems, worked examples, a bibliography, photographs, illustrations, and a thorough glossary all reinforce concepts throughout. New chapters delve into such areas as support vector machines, and reinforcement learning/neurodynamic programming, Rosenblatt's Perceptron, Least-Mean-Square Algorithm, Regularization Theory, Kernel Methods and Radial-Basis function networks (RBF), and Bayseian Filtering for State Estimation of Dynamic Systems. An entire chapter of case studies illustrates the real-life, practical applications of neural networks. A highly detailed bibliography is included for easy reference. MARKET: For professional engineers and research scientists. Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/ No se han encontrado descripciones de biblioteca. |
Debates activosNingunoCubiertas populares
Google Books — Cargando... GénerosSistema Decimal Melvil (DDC)006.32Information Computing and Information Special Topics Artificial Intelligence Neural NetworksClasificación de la Biblioteca del CongresoValoraciónPromedio:
¿Eres tú?Conviértete en un Autor de LibraryThing. |