INVERSE CONSTRUCTING OF A SET OF OBJECTIVE FUNCTIONS

Richard M D, Lippmann R P. Neural network classifiers estimate Bayesian a posteriori probabilities[J].Neural Computation.1991, 3:461-483[2]Gish H. A probabilistic approach to the understanding and training of neural network classifiers,Proc. IEEE Intl Conf. on ASSP, New Mexico, USA: 1990, 1361-1364.[3]Haykin S. Neural Netwoks: Comprehensive Foundation. New York: Macmillan College Publishing Company, 1994, 696. ［4］Karayiannis N B. Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal representations. IEEE Trans. on Neural Networks,1996, 7(2): 419-425.[4]Morgan N, Bourlard H. Continuous speech recognition: An introduction to the hybrid HMM/connectionist approach. IEEE Signal Processing Magazine, 1995, 12(3): 25-42.[5]杜利民,候自强.自动语音识别中的人工神经网络方法.物理学进展,1996,(9).[6]焦李成.神经网络系统理论,西安:西安电子科技大学出版社,1992,26-41.