Advances In Neural Networks Isnn


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Advances in Neural Networks -- ISNN 2010


Advances in Neural Networks -- ISNN 2010

Author: Bao-Liang Lu

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-05-21


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This book and its sister volume constitutes the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. The 170 revised full papers of Part I and Part II were carefully selected from 591 submissions and focus on topics such as Neurophysiological Foundation, Theory and Models, Learning and Inference, and Neurodynamics. The second volume, Part II (LNCS 6064) covers the following 5 topics: SVM and Kernel Methods, Vision and Image, Data Mining and Text Analysis, BCI and Brain Imaging, and applications.

Advances in Neural Networks – ISNN 2018


Advances in Neural Networks – ISNN 2018

Author: Tingwen Huang

language: en

Publisher: Springer

Release Date: 2018-05-25


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This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018.The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization.​

Advances in Neural Networks – ISNN 2014


Advances in Neural Networks – ISNN 2014

Author: Zhigang Zeng

language: en

Publisher: Springer

Release Date: 2014-11-28


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The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.