[1] He X G, Liang J Z. Procedure Neural Networks. In: Shi Z, Faltings B, Musen M, eds. Proc of the Conference on Intelligent Information. Beijing, China: Electronic Industry Press, 2000, 21-25 [2] He X G, Liang J Z. Some Theoretical Issues of Procedure Neural Networks. Engineering Science, 2000, 2(12): 40-44 (in Chinese) (何新贵,梁久祯.过程神经元网络的若干理论问题.中国工程科学, 2000, 2(12): 40-44) [3] He X G, Liang J Z, Xu S H. Learning and Applications of Procedure Neural Networks. Engineering Science, 2001, 3(4): 31-35 (in Chinese) (何新贵,梁久祯,许少华.过程神经元网络的训练及其应用.中国工程科学, 2001, 3(4): 31-35) [4] Wah B W, Qian M L. Constrained Formulations and Algorithms for Stock-Price Predictions Using Recurrent FIR Neural Networks. In: Proc of the 18th National Conference on Artificial Intelligence. Edmonton, Canada, 2002, 211-216 [5] Baldi P, Pollastri G. The Principled Design of Large-Scale Recursive Neural Network Architectures-DAG-RNNs and the Protein Structure Prediction Problem. Journal of Machine Learning Research, 2003, 4(4): 575-602 [6] Liang J Z. Function Approximation of Fuzzy Neural Network and Its Research on Learning Algorithm. PhD Dissertation. Department of Computer, Beijing University of Astronautics and Aeronautics, Beijing, China, 2001 (in Chinese) (梁久祯.模糊神经网络的函数逼近及其学习算法研究.博士学位论文.北京航空航天大学,计算机系,北京, 2001) [7] Liang J Z, Zhou J Q, He X G. Procedure Neural Networks with Supervised Learning. In: Wang L, Rajapakse J C, Fukushima K, Lee S Y, Yao X, eds. Proc of the 9th International Conference on Neural Information Processing. Singapore, Singapore, 2002, 523-527 [8] Liang J Z, Zhao M S. Feedback Procedure Neural Networks and Its Training. In: Proc of the 1st International Conference on Machine Learning and Cybernetics. Beijing, China, 2002, 101-106 [9] Jia J, Liang J Z. Orthodoxy Basis Functions and Convergence Property in Procedure Neural Networks. In: Rutkowski L, Siekmann J, Tadeusiewicz R, Zadeh L A, eds. Proc of the 7th International Conference on Artificial Intelligence and Soft Computing. Zakopane, Poland, 2004, 203-209 [10] Xu S H, He X G. Learning Algorithm Based on Orthogonal Function Basis Expansion of Procedure Neural Networks . Chinese Journal of Computers, 2004, 27(5): 645-650 (in Chinese) (许少华,何新贵.基于函数正交基展开的过程神经网络学习算法.计算机学报, 2004, 27(5): 645-650) |