대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 1999년도 하계종합학술대회 논문집
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- Pages.482-485
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- 1999
직교함수를 은닉층에 지닌 신경회로망에 대한 연구
The Study of Neural Networks Using Orthogonal function System in Hidden-Layer
초록
In this paper we proposed a heterogeneous hidden layer consisting of both sigmoid functions and RBFs(Radial Basis Function) in multi-layered neural networks. Focusing on the orthogonal relationship between the sigmoid function and its derivative, a derived RBF that is a derivative of the sigmoid function is used as the RBF in the neural network. so the proposed neural network is called ONN(Orthogonal Neural Network). Identification results using a nonlinear function confirm both the ONN's feasibility and characteristics by comparing with those obtained using a conventional neural network which has sigmoid function or RBF in hidden layer
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