Advances in neural networks--ISNN 2007 : 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007 : proceedings. Part II / Derong Liu [and others] (eds.).
Contributor(s): Liu, DerongMaterial type: TextSeries: SerienbezeichnungLecture notes in computer science: 4491-4493.Publisher: Berlin ; New York : Springer, ©2007Description: 1 online resource (3 volumes) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540723936; 3540723935Other title: ISNN 2007 | 4th International Symposium on Neural Networks | Fourth International Symposium on Neural Networks | International Symposium on Neural NetworksSubject(s): Neural networks (Computer science) -- Congresses | Neural computers -- Congresses | Neural computers | Neural networks (Computer science) | algoritmen | algorithms | computeranalyse | computer analysis | wiskunde | mathematics | computerwetenschappen | computer sciences | kunstmatige intelligentie | artificial intelligence | computational science | computernetwerken | computer networks | patroonherkenning | pattern recognition | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Advances in neural networks--ISNN 2007.DDC classification: 004.0151 LOC classification: QA76.87 | .I5845 2007ebOnline resources: Click here to access online
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Includes bibliographical references and indexes.
pt. 1. 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 -- pt. 2. Chaos and synchronization. Neural fuzzy systems. Training and learning algorithms for neural networks. Neural networks structures. Neural networks for pattern recognition. SOMs, ICA/PCA. Biomedical applications -- pt. 3. 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.
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