Tang, Huajin
Neural Networks Computacional Models and Applications Huajin Tang, Kay Chen Tan y Zhang Yi - First Edition. - xxii, 299 páginas : ilustraciones ; 23 cm. - Studies in computational intelligence, 1860-949X ; 53 .
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 --
9783642088711
Neural networks (computer science)
Redes neurales--Informática
006.32 / / T156n
Neural Networks Computacional Models and Applications Huajin Tang, Kay Chen Tan y Zhang Yi - First Edition. - xxii, 299 páginas : ilustraciones ; 23 cm. - Studies in computational intelligence, 1860-949X ; 53 .
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 --
9783642088711
Neural networks (computer science)
Redes neurales--Informática
006.32 / / T156n