[1] Devabhaktuni, V., et al., Robust Training of Microwave Neural Models, IEEE MTT-S Intl. Microwave Symp. Digest, Anaheim, CA, June 1999, pp. 145 148.

[2] Wang, F., et al., Neural Network Structures and Training Algorithms for RF and Microwave Applications, Int. Journal of RF and Microwave CAE, Special Issue on Applications of ANN to RF and Microwave Design, Vol. 9, 1999, pp. 216 240.

[3] Watson, P. M., and K. C. Gupta, EM_ANN Models for Microstrip Vias and Interconnects in Multilayer Circuits, IEEE Trans. Microwave Theory and Techniques, Vol. 44, Dec. 1996, pp. 2495 2503.

[4] Bandler, J. W., M. A. Ismail, J. E. Rayas-Sanchez, and Q. J. Zhang, Neuromodeling of Microwave Circuits Exploiting Space Mapping Technology, IEEE Intl. Microwave Symp Digest, Anaheim, CA, June 1999, pp. 149 152.

[5] Rao, N. S. V., et al. Learning Algorithms for Feedforward Networks Based on Finite Samples, IEEE Trans. Neural Networks, Vol. 7, 1996, pp. 926 940.

[6] Thimm, G., and E. Fiesler, High-Order and Multilayer Perceptron Initialization, IEEE Trans. Neural Networks, Vol. 8, 1997, pp. 349 359.

[7] Kim, Y. K., and J. B. Ra, Weight Value Initialization for Improving Training Speed in the Backpropagation Network, Proc. IEEE Int. Conf. Neural Networks, Vol. 3, 1991, pp. 2396 1401.

[8] Burrascano, P., S. Fiori, and M. Mongiardo, A Review of Artificial Neural Networks Applications in Microwave CAD, Int. Journal of RF and Microwave CAE, Special Issue on Applications of ANN to RF and Microwave Design, Guest Editors, Q. J. Zhang, G. L. Creech, Vol. 9, April 1999, pp.