Download Advances in Neuro-Information Processing: 15th International by Wei-Chen Cheng, Cheng-Yuan Liou (auth.), Mario Köppen, PDF

By Wei-Chen Cheng, Cheng-Yuan Liou (auth.), Mario Köppen, Nikola Kasabov, George Coghill (eds.)

The quantity set LNCS 5506 and LNCS 5507 constitutes the completely refereed post-conference court cases of the fifteenth overseas convention on Neural info Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008.

The 260 revised complete papers offered have been conscientiously reviewed and chosen from a number of usual paper submissions and 15 specified geared up classes. 116 papers are released within the first quantity and 112 within the moment quantity. The contributions care for issues within the components of information mining tools for cybersecurity, computational versions and their purposes to computing device studying and development popularity, lifelong incremental studying for clever structures, software of clever tools in ecological informatics, trend acceptance from real-world details by way of svm and different refined innovations, dynamics of neural networks, contemporary advances in brain-inspired applied sciences for robotics, neural details processing in cooperative multi-robot systems.

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Extra info for Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II

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Katsunori Kitano and Kazuhiro Yamada Prediction of the O-glycosylation by Support Vector Machines and Semi-supervised Learning . . . . . . . . . . . . . . . . . . . . . Hirotaka Sakamoto, Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, and Ikuko Nishikawa 953 962 970 978 986 XXXVI Table of Contents – Part I Practical Approach to Outlier Detection Using Support Vector Regression . . . . . . . . . . . . . . . . .

1180 Jos´e Everardo B. V. Coelho, and Guilherme A. Barreto RBF NN Based Adaptive PI Control of Brushless DC Motor . . . . . 1188 Jie Xiu, Yan Xiu, and Shiyu Wang Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio . . . . . . . . . . . . . . . . . . . . . . . 1196 Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, and Nikola Kasabov Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach . . .

1103 Wei Kin Wong, Tze Ming Neoh, Chu Kiong Loo, and Chuan Poh Ong Solving the Online SLAM Problem with an Omnidirectional Vision System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1110 Vitor Campanholo Guizilini and Jun Okamoto Jr. XIV WORKSHOP: Neurocomputing and Evolving Intelligence – NCEI 2008 A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining . . . . . . . . . . . . . . . . .

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