References
- Balanis, C. A. (2005). Antenna theory analysis and design. New Jersey: John Wiley & Sons, INC.
- Bose, T., Gupta, V. R., & Gupta, N. (2008, November 21). Neural network model for designing monopole antenna. In Recent advances in microwave theory and applications (pp. 71–73). Jaipur, India: IEEE.
- Guney K., & Sarikaya N. (2004). Input resistance calculation for circular microstrip antennas using adaptive neuro-fuzzy inference system. International Journal of Infrared and Millimeter Waves, April 1, 25, 703–716.10.1023/B:IJIM.0000020756.48454.31
- Guney K., & Sarikaya N. (2007). Adaptive neuro-fuzzy inference system for computing the resonant frequency of electrically thin and thick rectangular microstrip antennas. International Journal of Electronics, Sep 1, 94, 833–844.10.1080/00207210701526317
- Haykin S. (2004). Neural networks. A comprehensive foundation. Singapore: Pearson Education, Pte. Ltd.
- Jang J. S. (1993). ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, May, 23, 665–685.10.1109/21.256541
- Jang, J. S., Sun, C. T., & Mizutani E. (1997). Neuro-fuzzy and soft computing; A computational approach to learning and machine intelligence. New Jersey: Pearson.
- Liang, J., Chiau, C. C., Chen, X., Parini, C. G. (2004). Printed circular disc monopole antenna for ultra-wideband applications. Electronics Letters, 40, 1246–1247.
- Lim, K. S., Nagalingam, M., & Tan, C. P. (2008). Design and construction of microstrip UWB antenna with time domain analysis. Progress In Electromagnetics Research M, 3, 153–164.10.2528/PIERM08051903
- Pandit, M., & Bose, T. (2011). An ANN model to determine design parameter of circular monopole antenna. In Antenna Week ( IAW), (pp. 1–5). IEEE.
- Rudge, A. W., Milne, K., Olver, A. D., Knight, P. (1982). The handbook of antenna design. Vol. (2). London, UK: Peter Peregrinus Ltd.
- Sivanandam, S. N., Sumathi, S., Deepa, S. N. (2006). Introduction to neural networks using matlab 6.0. New Delhi: Tata McGraw-Hill.