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Titlebook: Neural Information Processing; 21st International C Chu Kiong Loo,Keem Siah Yap,Kaizhu Huang Conference proceedings 2014 Springer Internati

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書目名稱Neural Information Processing
副標(biāo)題21st International C
編輯Chu Kiong Loo,Keem Siah Yap,Kaizhu Huang
視頻videohttp://file.papertrans.cn/664/663574/663574.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Neural Information Processing; 21st International C Chu Kiong Loo,Keem Siah Yap,Kaizhu Huang Conference proceedings 2014 Springer Internati
描述The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 21st International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes, theories and applications, cognitive robotics, and learning systems for social network and web mining.
出版日期Conference proceedings 2014
關(guān)鍵詞activity recognition; artificial intelligence; big data; bio-inspired computing; brain-computer interfac
版次1
doihttps://doi.org/10.1007/978-3-319-12637-1
isbn_softcover978-3-319-12636-4
isbn_ebook978-3-319-12637-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




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書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




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A Computational Model of the Relation between Regulation of Negative Emotions and Moodm mood. The model incorporates an earlier model of mood dynamics and a model for the dynamics of emotion generation and regulation. Example model simulations are described that illustrate how adequate emotion regulation skills can prevent that a depression is developed.
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ng the causes of problems and failures during manufacture. Calculation times for complex manufacturing processes can be several hours to days. This prevents rapid response through simulation in the event of a failure during production and integration of process simulation into design optimization lo
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Toshiaki Omorignitive symptoms, side effects, and risk factors. Consequently, there has long been some interaction between those clinical fields and traditional cognitive sciences, focused on computationalist and embodied approaches to understanding natural and machine cognition. Examples include the advances mad
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