References
- D. E. Rumelhart and J. L. McClelland, Parallel Distributed Processing: Explorations in the Microstructures of Cognition, The MIT Press, 1986.
- K. Hornik, M. Stincombe, and H. White, "Multilayer feedforward networks are universal approximators," Neural Networks, Vol.2, pp.359-366, 1989. https://doi.org/10.1016/0893-6080(89)90020-8
- M. Stevenson, R. Winter, and B. Widrow, “Sensitiviety of feedforward neural networks to weight errors," IEEE Trans. Neural Networks, Vol.1, pp.71-90, 1990. https://doi.org/10.1109/72.80206
- Y. Xie and M. A. Jabri, "Analysis of the effects of quantization in multilayer neural networks using a statistical model," IEEE Trans. Neural Networks, Vol.3, pp.334-338, 1992. https://doi.org/10.1109/72.125876
- J. Y. Choi and C.-H. Choi, "Sensitivity analysis of multilayer perceptron with differentiable activation functions," IEEE Trans. Neural Networks, Vol.3, pp.101-107, 1992. https://doi.org/10.1109/72.105422
- Y. Lee and S.-H. Oh, "Input noise immunity of multilayer perceptrons," ETRI Journal, Vol.16, pp.35-43, 1994. https://doi.org/10.4218/etrij.94.0194.0013
- S.-H. Oh and Y. Lee, "Sensitivity analysis of single hidden-layer neural networks with threshold functions," IEEE Trans. Neural Networks, Vol.6, pp.1005-1007, 1995. https://doi.org/10.1109/72.392264
- R. P. Lippmann, "Pattern classification using neural networks," IEEE Communication Magazine, pp.47-64, 1989.
- J. B. Hamshire II and A. H. Waibel, "A novel objective function for improved phoneme recognition using time-delay neural networks," IEEE Trans. Neural Networks, Vol.1, pp.216-228, 1990. https://doi.org/10.1109/72.80233
- A. S. Weigend and N. A. Gershenfeld, Time Series Prediction: Forecasting the future and understanding the past, Addison-Wesley Publishing Co., 1994.
- Y.-M. Huang, C.-M. Hung, and H. C. Jiau, "Evaluation of neural networks and data mining methods on a credit assessment task for class imbalance problem," Nonlinear Analysis, Vol.7, pp.720-747, 2006. https://doi.org/10.1016/j.nonrwa.2005.04.006
- Z. R. Yang and R. Thomson, "Bio-basis function neural netwrok for prediction of protease cleavage sites in proteins," IEEE Trans. Neural Networks, Vol.16, pp.263-274, 2005. https://doi.org/10.1109/TNN.2004.836196
- S.-H. Oh, "Improving the error back-propagation algorithm with a modified error function," IEEE Trans. Neural Networks, Vol.8, pp.799-803, 1997. https://doi.org/10.1109/72.572117
- J. B. Hampshire II and A. H. Waibel, "A novel objective function for improved phoneme recognition using time-delay neural networks," IEEE Trans. Neural Networks, Vol.1, pp.216-228, 1990. https://doi.org/10.1109/72.80233
- A. van Ooyen and B. Nienhuis, "Improving the convergence of the back-propagation algorithm," Neural Networks, Vol.5, pp.465-471, 1992. https://doi.org/10.1016/0893-6080(92)90008-7
- 오상훈, “다층퍼셉트론에 의한 불균형 데이터의 학습방법”, 한국콘텐츠학회 논문지, 제9권, 제7호, pp.141-148, 2009.
- 오상훈, “다층퍼셉트론의 출력노드 수 증가에 의한 성능향상”, 한국콘텐츠학회 논문지, 제9권, 제1호, pp.123-130, 2009.
- D. Simard, P. Y. Steinkraus, and J. C. Platt, "Best practices for convolutional neural networks," Proc. Int. Conf. Document Analysis and Recognition(ICDAR), Washington DC, USA, pp.958-962, 2003.
- Z.-H. Zhou and X.-Y. Liu, "Training cost-sensitive neural networks with methods addressing the class imbalance problem," IEEE Trans. Knowledgement and Data Eng., Vol.18, No.1, pp.63-77, 2006. https://doi.org/10.1109/TKDE.2006.17
- Y. Lee, S.-H. Oh, and M. W. Kim, "An analysis of premature saturation in back-propagation learning," Neural Networks, Vol.6, pp.719-728, 1993. https://doi.org/10.1016/S0893-6080(05)80116-9
- Sang-Hoon Oh "On the Design of Multilayer perceptrons for Pattern Classifications," Proc. Int. Conf. on Convergence Content 2009, Hanoi, Vietnam, pp.59-62, Dec. 17-19 2009.
- G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, Vol.313, pp.504-507, 2006. https://doi.org/10.1126/science.1127647
- F. J. Owens, G. H. Zheng, and D. A. Irvine, "A multi-output-layer perceptron," Neural Computing & Applications, Vol.4, pp.10-20, 1996. https://doi.org/10.1007/BF01413865