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Titlebook: Computational Neuroscience; First Latin American Dante Augusto Couto Barone,Eduardo Oliveira Teles, Conference proceedings 2017 Springer In

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發(fā)表于 2025-3-21 16:22:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Neuroscience
副標(biāo)題First Latin American
編輯Dante Augusto Couto Barone,Eduardo Oliveira Teles,
視頻videohttp://file.papertrans.cn/233/232861/232861.mp4
概述Includes supplementary material:
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Computational Neuroscience; First Latin American Dante Augusto Couto Barone,Eduardo Oliveira Teles, Conference proceedings 2017 Springer In
描述This book constitutes the thoroughly refereed proceedings of the First International?Workshop of Computational Neuroscience, held in Porto Allegre, Brazil, in November?2017.The 12 full papers and 3 short papers presented have been thoroughly reviewed andselected from 40 submissions. The papers are organized in topical sections: neural?networks; artificial intelligence; computer vision; machine learning; graphic systems and interfaces; decision trees; nonlinear equations; nano-electromechanical systems. .?..
出版日期Conference proceedings 2017
關(guān)鍵詞neuro-science; neuro-engineering; artificial intelligence; neural networks; ; computer vision; machine lea
版次1
doihttps://doi.org/10.1007/978-3-319-71011-2
isbn_softcover978-3-319-71010-5
isbn_ebook978-3-319-71011-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書目名稱Computational Neuroscience影響因子(影響力)




書目名稱Computational Neuroscience影響因子(影響力)學(xué)科排名




書目名稱Computational Neuroscience網(wǎng)絡(luò)公開度




書目名稱Computational Neuroscience網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Neuroscience被引頻次




書目名稱Computational Neuroscience被引頻次學(xué)科排名




書目名稱Computational Neuroscience年度引用




書目名稱Computational Neuroscience年度引用學(xué)科排名




書目名稱Computational Neuroscience讀者反饋




書目名稱Computational Neuroscience讀者反饋學(xué)科排名




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Eougenious L. Ivchenko,Grigory Pikusen with blindfold, and visually impaired use the sense of touch to identify spatial geometric objects. An experiment was made and through the data of the recorded brain signals, decision tree techniques were applied to understand the main areas involved in the brain activities during the execution o
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Cyberbullying Classification Using Extreme Learning Machine Applied to Portuguese Languagen this paper, a solution to the Cyberbullying classification problem using machine learning (Extreme Learning Machine) is proposed. The application of the proposed method to a database of sentences in Portuguese language shows promising results where compared to a standard method available in the literature.
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T. L. Markin,R. J. Bones,R. M. Delllations using the Lyapunov Stability Criterion (LSC). The presented technique does not depend on the Neural Networks to be synchronized but also presents a lower computational cost in comparison with previous works. The results show that FPGAs are good platforms for such experiments.
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Superior Beings: They May Be Undecidable,for data analysis. The foundations and basic concepts of some DL models are presented in order to offer a brief understanding to scientists. Likewise, applications of these models on Neuroscience researches are also presented.
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