TY  - BOOK
AU  - Hutchison,David
TI  - Advances in Neural Networks - ISNN 2008: 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008
T2  - Lecture Notes in Computer Science
SN  - 9783540877325
AV  - QA76.87 .I5844 2008
U1  - 006.3 23
PY  - 2008///
CY  - Berlin
PB  - Springer-Verlag
KW  - Neural computers
KW  - Congresses
KW  - Neural networks (Computer science)
KW  - Ordinateurs neuronaux
KW  - Congrès
KW  - Réseaux neuronaux (Informatique)
KW  - Informatique
KW  - eclas
KW  - fast
KW  - beeldverwerking
KW  - image processing
KW  - machine vision
KW  - simulatiemodellen
KW  - simulation models
KW  - computerwetenschappen
KW  - computer sciences
KW  - kunstmatige intelligentie
KW  - artificial intelligence
KW  - computational science
KW  - datamining
KW  - data mining
KW  - patroonherkenning
KW  - pattern recognition
KW  - Information and Communication Technology (General)
KW  - Informatie- en communicatietechnologie (algemeen)
KW  - Congress
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - Computational Neuroscience -- Cognitive Science -- Mathematical Modeling of Neural Systems -- Stability and Nonlinear Analysis -- Feedforward and Fuzzy Neural Networks -- Probabilistic Methods -- Supervised Learning -- Unsupervised Learning -- Support Vector Machine and Kernel Methods -- Hybrid Optimisation Algorithms
N2  - The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks
UR  - https://link.springer.com/10.1007/978-3-540-87732-5
ER  -