Improving Convolutional Neural Networks with Competitive Activation Function | Zendy

Ying Yao | Zendy; Nengbo Zhang | Zendy; Ping He | Zendy; Silong Peng | Zendy

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Improving Convolutional Neural Networks with Competitive Activation Function

Author(s) -

Ying Yao,

Nengbo Zhang,

Ping He,

Silong Peng

Publication year - 2021

Publication title -

security and communication networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.446

H-Index - 43

eISSN - 1939-0114

pISSN - 1939-0122

DOI - 10.1155/2021/1933490

Subject(s) - activation function , computer science , convolutional neural network , nonlinear system , transformation (genetics) , parametric statistics , function (biology) , funnel , artificial neural network , artificial intelligence , algorithm , mathematics , physics , biochemistry , chemistry , statistics , organic chemistry , quantum mechanics , evolutionary biology , biology , gene

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China School of Intelligent Systems Science and Engineering, Jinan University, Guangzhou, Guangdong 519070, China Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, Sichuan 643000, China Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

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