Neural Networks: Computational Models and Applications
Computational Models and Applications
(Sprache: Englisch)
Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks,...
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Klappentext zu „Neural Networks: Computational Models and Applications “
Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. The book offers a compact, insightful understanding of the broad and rapidly growing neural networks domain.
Inhaltsverzeichnis zu „Neural Networks: Computational Models and Applications “
- Feedforward Neural Networks and Training Methods- New Dynamical Optimal Learning for Linear Multilayer FNN
- Fundamentals of Dynamic 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 Problems
- Competitive Neural Networks 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
- Qualitative Analysis for Neural Networks with LT Transfer Functions
- Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons
- LT Network Dynamics and Analog Associative Memory
- Output Convergence Analysis for Delayed RNN with Time Varying Inputs
- Background Neural Networks with Uniform Firing Rate and Background Input
Bibliographische Angaben
- Autoren: Huajin Tang , Kay Chen Tan , Zhang Yi
- 2007, 2007, 300 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 3540692258
- ISBN-13: 9783540692256
- Erscheinungsdatum: 12.03.2007
Sprache:
Englisch
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