1.

Record Nr.

UNINA9910483433803321

Autore

Liu Derong

Titolo

Advances in Neural Networks - ISNN 2007 : 4th International Symposium on Neural Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part III / / edited by Derong Liu, Shumin Fei, Zeng-Guang Hou, Huaguang Zhang, Changyin Sun

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007

ISBN

1-280-94498-6

9786610944989

3-540-72395-1

Edizione

[1st ed. 2007.]

Descrizione fisica

1 online resource (1237 p.)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 4493

Disciplina

006.32

Soggetti

Computer science

Computer networks

Algorithms

Computer science - Mathematics

Discrete mathematics

Artificial intelligence

Pattern recognition systems

Theory of Computation

Computer Communication Networks

Discrete Mathematics in Computer Science

Artificial Intelligence

Automated Pattern Recognition

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and indexes.

Nota di contenuto

Feedforward Neural Networks -- Recurrent Neural Networks -- Neural Networks for Optimization -- Support Vector Machines -- Fault Diagnosis/Detection -- Communications and Signal Processing -- Image/Video Processing -- Applications of Neural Networks.

Sommario/riassunto

This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks,



ISNN 2007, held in Nanjing, China in June 2007. The 262 revised long papers and 192 revised short papers presented were carefully reviewed and selected from a total of 1,975 submissions. The papers are organized in topical sections on neural fuzzy control, neural networks for control applications, adaptive dynamic programming and reinforcement learning, neural networks for nonlinear systems modeling, robotics, stability analysis of neural networks, learning and approximation, data mining and feature extraction, chaos and synchronization, neural fuzzy systems, training and learning algorithms for neural networks, neural network structures, neural networks for pattern recognition, SOMs, ICA/PCA, biomedical applications, feedforward neural networks, recurrent neural networks, neural networks for optimization, support vector machines, fault diagnosis/detection, communications and signal processing, image/video processing, and applications of neural networks.