Qualitative Analysis and Synthesis of Recurrent Neural Networks
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A01=Anthony Michel
A01=Derong Liu
advanced recurrent neural network synthesis
analog computation methods
associative memory models
Asymptotically Stable
Author_Anthony Michel
Author_Derong Liu
Category=UYQN
Cellular Neural Networks
Cohen Grossberg Neural Network
Connection Matrix
Discrete Time Neural Networks
dynamical systems analysis
Em Ark
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Equilibrium Point
Exponentially Stable
Globally Asymptotically Stable
Hopfield Model
Hopfield Neural Networks
Hurwitz Stable
Interconnection Constraints
Linear System
Lyapunov Functions
Memory Vector
Neural Network
Neural Network Design
nonlinear system stability
Ordinary Differential Equations
parameter sensitivity in neural systems
Perceptron Training
Recurrent Neural Networks
Scalar Lyapunov Functions
Spurious Memories
Synthesis Procedure
time delay effects in networks
Vector Lyapunov Functions
Product details
- ISBN 9780824707675
- Weight: 816g
- Dimensions: 152 x 229mm
- Publication Date: 04 Dec 2001
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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"Analyzes the behavior, design, and implementation of artificial recurrent neural networks. Offers methods of synthesis for associative memories. Evaluates the qualitative properties and limitations of neural networks. Contains practical applications for optimal system performance."
