Advances in Neural Networks - ISNN 2008 [electronic resource] : 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II / edited by Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu.

By: Sun, Fuchun [editor.]Contributor(s): Zhang, Jianwei [editor.] | Tan, Ying [editor.] | Cao, Jinde [editor.] | Yu, Wen [editor.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Lecture Notes in Computer Science: 5264Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008Description: online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540877349Subject(s): Computer science | Data mining | Artificial intelligence | Computer simulation | Computer vision | Optical pattern recognition | Computer Science | Computation by Abstract Devices | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Simulation and Modeling | Image Processing and Computer Vision | Pattern RecognitionAdditional physical formats: Printed edition:: No titleDDC classification: 004.0151 LOC classification: QA75.5-76.95Online resources: Click here to access online
Contents:
Machine Learning and Data Mining -- Intelligent Control and Robotics -- Pattern Recognition -- Audio, Image Processing and Computer Vision -- Fault Diagnosis -- Other 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.
In: Springer eBooksSummary: 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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Machine Learning and Data Mining -- Intelligent Control and Robotics -- Pattern Recognition -- Audio, Image Processing and Computer Vision -- Fault Diagnosis -- Other 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.

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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