Advances in Neural Networks [electronic resource] : 5th International Symposium on Neural networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I / edited by Fuchun Sun, Jianwei Zhang, Jinde Cao, Wen Yu.
Contributor(s): Sun, Fuchun [editor.]
| Zhang, Jianwei [editor.] | Cao, Jinde [editor.] | Yu, Wen [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 5263Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008Edition: 1st ed. 2008.Description: XXXII, 908 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540877325.Subject(s): Artificial intelligence | Computer programming | Data mining | Computer science | Computer simulation | Computer vision | Artificial Intelligence | Programming Techniques | Data Mining and Knowledge Discovery | Theory of Computation | Computer Modelling | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online 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.
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.
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