대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2008년도 하계종합학술대회
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- Pages.679-680
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- 2008
다양한 활성 함수를 사용하는 신경회로망의 구성
Neural Networks with Mixed Activation Functions
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Lee, Chung-Yeol
(School of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology) ;
- Park, Cheol-Hoon (School of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology)
- 발행 : 2008.06.18
초록
When we apply the neural networks to applications, we need to select proper architecture of the network and the activation function of the network is one of most important characteristics. In this research, we propose a method to make a network using multiple activation functions. The performance of the proposed method is investigated through the computer simulations on various regression problems.
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