Neural Information Processing : 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers. Part I.
By: Ishikawa, MasumiMaterial type: TextSeries: SerienbezeichnungLecture notes in computer science: 4984.Publisher: Berlin : Springer-Verlag, 2008Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540691587; 3540691588; 9783540691549; 3540691545Subject(s): Neural networks (Computer science) -- Congresses | Informatique | Neural networks (Computer science) | beeldverwerking | image processing | machine vision | informatiesystemen | information systems | internet | computerwetenschappen | computer sciences | kunstmatige intelligentie | artificial intelligence | computational science | databasebeheer | database management | patroonherkenning | pattern recognition | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 004.0151 LOC classification: QA76.87 | .I573 2007Online resources: Click here to access online
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Print version record.
Computational Neuroscience -- Learning and Memory -- Neural Network Models -- Supervised/Unsupervised/Reinforcement Learning -- Statistical Learning Algorithms -- Optimization Algorithms -- Novel Algorithms -- Motor Control and Vision.
The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Includes bibliographical references and index.