1. Allred, L.G., and Kelly, G.E. (1990). Supervised learning techniques for backpropagation networks. In Proceedings of the International Joint Conference on Neural Networks, I, San Diego (pp. 702–709)
2. First- and Second-order methods for learning: Between steepest descent and Newton's method;Battiti;Neural Computation,1992
3. Becker, S., and leCun, Y. (1988). Improving the convergence of back-propagation learning with second order methods. In Proceedings of the 1988 Connectionist Models Summer School (pp. 29–37).
4. Chen, G.-A. (1994). Training Theory for Feedforward Networks with Applications to Channel Equalization. Unpublished MS thesis, Southheast University, Nanjing, P.R. China.
5. Haykin, S. (1994). Neural networks - a comprehensive foundation (pp. 138–219). New York: Macmillan.