Capabilities of a four-layered feedforward neural network: four layers versus three
暂无分享,去创建一个
[1] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[2] George Cybenko,et al. Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..
[3] Panos J. Antsaklis,et al. A simple method to derive bounds on the size and to train multilayer neural networks , 1991, IEEE Trans. Neural Networks.
[4] S. Tamura,et al. Capabilities of a three layer feedforward neural network , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[5] Yih-Fang Huang,et al. Bounds on the number of hidden neurons in multilayer perceptrons , 1991, IEEE Trans. Neural Networks.
[6] Zoran Obradovic,et al. Small Depth Polynomial Size Neural Networks , 1990, Neural Computation.
[7] Jacques de Villiers,et al. Backpropagation neural nets with one and two hidden layers , 1993, IEEE Trans. Neural Networks.
[8] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.