An overview of effect of activation functions on training and performance of artificial neural network modelling

• Main Authors: Md Munirul, Hasan, Rahman, Md Mustafizur, Suraya, Abu Bakar, Islam, Mir Sujaul, Kabir, Muhammad Nomani
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/36927/1/An%20overview%20of%20effect%20of%20activation%20functions%20on%20training%20and%20performance%20of%20artificial%20neural%20network%20modelling.pdf; http://umpir.ump.edu.my/id/eprint/36927/; https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files

This paper presents an overview of the effect of the activation functions on the training and performance of artificial neural network modelling. An artificial neural network's activation functions are mathematical formulas that are essential to its design. Activation functions are a critical c...