Bibliography

[boese93simulated] Kenneth D. Boese and Andrew B. Kahng, 1993, Simulated Annealing of Neural Networks: The "Cooling" Strategy Reconsidered.

[fahlman88empirical] Scott E. Fahlman, 1988, An Empirical Study of Learning Speed in Backpropagation Networks.

[fahlman91cascadecorrelation] Scott E. Fahlman and Christian Lebiere, 1991, The Cascade Correlation Learning Architecture.

[lawrence00overfitting] Steve Lawrence and C. Lee Giles, 2000, Overfitting and Neural Networks: Conjugate Gradient and Backpropagation.

[lecun90optimal] Yann Le Cun, John S. Denker, and Sara A. Solla, 1990, Optimal Brain Damage.

[ller93scaled] Martin Moeller, 1993, A Scaled Conjugate Gradient Algorithm for Supervised Learning.

[moreira95neural] M. Moreira and E. Fiesler, 1995, Neural Networks With Adaptive Learning Rates and Momentum.

[neural-networks-for-time] Georg Dorffner, 1996, Neural Networks for Time Series Processing.

[orr96rbf] Mark J. L. Orr, 1996, Introduction to Radial Basis Function Networks.

[riedmiller93direct] Martin Riedmiller and Heinrich Braun, 1993, A Direct Adaptive Method for Faster Backpropagation Learning: The RProp Algorithm.

[yao_ie3_proc_online] Xin Yao, 1999, Evolving Artificial Neural Networks.