£325.00
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.
Recurrent Neural Networks
Mathematical Perspectives on Neural Networks
Introduction to Neural Networks
Discrete-Time Recurrent Neural Control
Recurrent Neural Networks
Stability Analysis of Neural Networks
Artificial Neural Networks
Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)
Neural Networks and Deep Learning
Difference Equations and Machine Learning
Applications of Artificial Neural Networks for Nonlinear Data
Recent Advances in Artificial Neural Networks