Jin C. Theory Analysis for Error Function to Feedforward Neural Networks with Noise. Journal of Computer Research and Develop-ment, 2002, 39(2): 213-216 (in Chinese) (金 聪.含噪声前馈神经网络误差函数的理论分析.计算机研究与发展, 2002, 39(2): 213-216)
[2]
Lampariello F, Sciandrone M. Efficient Training of RBF Neural Networks for Pattern Recognition. IEEE Trans on Neural Networks, 2001, 12(5): 1235-1242
[3]
Jiang L F, Liu B, Shi L H. A Improved BP Algorithm and Applied in the Pattern Recognition. Journal of Harbin University of Science and Technology, 2003, 8(3):90-93 (in Chinese) (姜立芳,刘 泊,施莲辉.一种改进的BP算法及其在模式识别中的应用.哈尔滨理工大学学报, 2003, 8(3): 90-93)
[4]
Jin C. Structure Modality of the Error Function for Feedforward Neural Networks. Journal of Computer Research and Development, 2003, 39(7): 913-917 (in Chinese) (金 聪.前馈神经网络误差函数的结构形式.计算机研究与发展, 2003, 39(7): 913-917)
[5]
Yang Y H, Li X, Jiang F Z. Freeway Incident Detection Based on OLS and RBF Neural Networks. Journal of System Simulation, 2003, 15(5): 709-712 (in Chinese) (杨耀华,李 昕,江芳泽.基于OLS算法的RBF神经网络高速公路事件探测.系统仿真学报, 2003, 15(5): 709-712)
[6]
Sun J, Shen R M, Han P. An Original RBF Network Learning Algorithm. Chinese Journal of Computers, 2003, 26(11): 1562-1567 (in Chinese) (孙 健,申瑞民,韩 鹏.一种新颖的径向基函数(RBF)网络学习算法.计算机学报, 2003, 26(11): 1562-1567)
[7]
Sarimveis H, Alexandridis A, Mazarakis S. A New Algorithm for Developing Dynamic Radial Basis Function Neural Network Models Based on Genetic Algorithms. Computers and Chemical Engineering, 2004, 28(1-2): 209-217
[8]
Liao Y, Fang S C, Henry L W. Relaxed Conditions for Radial-Basis Function Networks to be Universal Approximators. Neural Networks, 2003, 16(7): 1019-1028
[9]
Ghodsi A, Schuurmans D. Automatic Basis Selection Techniques for RBF Networks. Neural Networks, 2003,16(5-6): 809-816
[10]
Wei H K, Ding W M, Song W Z , Xu S X. Dynamic Method for Designing RBF Neural Networks. Control Theory and Applications, 2002, 19(5): 673-680 (in Chinese) (魏海坤,丁维明,宋文忠,徐嗣鑫.RBF网的动态设计方法.控制理论与应用, 2002, 19(5): 673-680)
[11]
Wang X F, Sun X Q, Feng Y J. Regional Mapping Model of Feedforword Neural Network for Pattern Recognition. Journal of Harbin Institute of Technology, 2000, 32(5):73-74 (in Chinese) (王雪峰,孙学全,冯英浚.用于模式识别的前馈式神经网络区域映射模型.哈尔滨工业大学学报, 2000, 32(5): 73-74)
[12]
Han M, Xi J H. Radial Basis Perceptron Networks and Its Application for Pattern Recognition. In: Proc of the International Joint Conference on Neural Networks. Honolulu, USA, 2002, 669-674
