1. Achenie L.E.K. (1993), “ Quasi-Newton Based Approach to the Training of the Feedforward Neural Network”, elligent Engineering Systems through Artificial Neural Networks Vol. 3, Editors: C. H. Dagli, L. I. Burke, B. R. Fernandez and J. Ghosh, 155–160
2. Andersen E.D., Gondzio J., Meszaros Cs, and Xu X. (1996), ”Implementation of Interior Point Methods for Large Scale Linear Programming” In erior Point Methods in Mathematical Programming Terlaky, Editor, Kluwer Academic Publishers, 189–252
3. Barnard E. (1992), ”Optimization for Training Neural Nets”, E Transactions on Neural Networks Vol. 3, (2), 232–240
4. Battiti R. (1992), ”First and Second-Order Methods for Learning Between Steepest Descent and Newton’ Method”, ral Computation Vol. 4, 141–166
5. Bazaraa M.S., Sherali H.D., and Shetty C.M. (1993), linear programming theory and algorithms NY: Wiley