1. B.C. Cetin, J.W. Burdick, J. Barhen, Global descent replaces gradient descent to avoid local minima problem in learning with ANN, in: Proceedings of IEEE Conference on NN, vol. 2, 28 March–1 April 1993, pp. 836–842.
2. Regularization theory and neural network architectures;Girosi;Neural Computation,1995
3. Handbook of Global Optimization,1995
4. Functional equivalence between radial basis function networks and fuzzy inference systems;Jang;IEEE Trans. Neural Networks,1993
5. I.N. Jordanov, T.A. Rafik, Local minima free network learning, in: Second IEEE International Conference on Intelligent Systems, June 2004, pp. 34–39.