Biblioteca Univ. Surcolombiana

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Neural Networks Computacional Models and Applications Huajin Tang, Kay Chen Tan y Zhang Yi

By: Tang, Huajin [autor].
Contributor(s): Tan, Kay Chen [autor] | Yi, Zhang [autor].
Series: Studies in computational intelligence, 1860-949X ; 53.Berlin : New York : Springer, 2010 ©2010Edition: First Edition.Description: xxii, 299 páginas : ilustraciones ; 23 cm.Content type: texto Media type: no mediado Carrier type: volumenISBN: 9783642088711.Subject(s): Neural networks (computer science) | Redes neurales -- InformáticaDDC classification: 006.32 /
Contents:
Introduction -- Backgrounds -- Scopes -- Organization -- Feedforward Neural Networks and training Methods -- New Dynamical Optimal Learning for Linear Multilayer -- fundamentals of Dynamical Systems -- Various Computational Models and Applications -- Convergence Analysis of Discrete Time RNNs for Linear Variational Inequality Problem -- Parameter Settings of Hopfield Networks Applied to Traveling Salesman Problems -- Competitive Model for Combinatorial Optimization -- Competitive Neural Networds for Image Segmentation -- Columnar Competitive Model for Solving Multi-Traveling salesman Problem -- Improving Local Minima of columnar Competitive Model for TSPs -- A New Algorithm for Finding the Shortest Paths Using PCNN -- Analysis of Ciclic Dynamics for Networks of Linear Threshold Neurons -- LT Network Dynamcis and Analog Associative Memory -- Output Convergence Analysis for Delayed RNN with Time Varying Inputs -- Background Neural Networks with Uniform Firing Rate and Backgraund Input -- References --
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Item type Current location Collection Call number Vol info Copy number Status Date due Barcode Item holds
Libros Libros Biblioteca Central
General 006.32 / T156n (Browse shelf) 2010 Ej. 1 Available 900000011956
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Includes bibliographical references.

Introduction -- Backgrounds -- Scopes -- Organization -- Feedforward Neural Networks and training Methods -- New Dynamical Optimal Learning for Linear Multilayer -- fundamentals of Dynamical Systems -- Various Computational Models and Applications -- Convergence Analysis of Discrete Time RNNs for Linear Variational Inequality Problem -- Parameter Settings of Hopfield Networks Applied to Traveling Salesman Problems -- Competitive Model for Combinatorial Optimization -- Competitive Neural Networds for Image Segmentation -- Columnar Competitive Model for Solving Multi-Traveling salesman Problem -- Improving Local Minima of columnar Competitive Model for TSPs -- A New Algorithm for Finding the Shortest Paths Using PCNN -- Analysis of Ciclic Dynamics for Networks of Linear Threshold Neurons -- LT Network Dynamcis and Analog Associative Memory -- Output Convergence Analysis for Delayed RNN with Time Varying Inputs -- Background Neural Networks with Uniform Firing Rate and Backgraund Input -- References --

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