Fuzzy Neural Network Theory and Application (Machine Perception and Artificial Intelligence)

Fuzzy Neural Network Theory and Application (Machine Perception and Artificial Intelligence)
Автор
 
Год
 
Страниц
 
244
ISBN
 
9812387862
Издатель
 
Springer
Категория
 
Нейронные сети

Содержание:

Общедоступная история астрономии в XIX столетии

Описание:

This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering.

Похожие книги

Discrete Mathematics of Neural Networks: Selected TopicsDiscrete Mathematics of Neural Networks: Selected Topics
Автор: Martin Anthony
Год: 1987
Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis (Modeling and Simulation in Science, Engineering and Technology)Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis (Modeling and Simulation in Science, Engineering and Technology)
Автор: Brunello Tirozzi, Silvia Puca, Stefano Pittalis, Antonello Bruschi, Sara Morucci, Enrico Ferraro, Stefano Corsini
Год: 2005
Advances in Natural ComputationAdvances in Natural Computation
Автор: Lipo Wang, Yew Soon Ong, Ke Chen
Год: 2005