Abstract
Electromagnetic (EM)-based neural network (NN) approaches have recently gained recognition as unconventional and useful methods for radio frequency (RF) components modeling. In this paper, several improvement techniques including a new data preprocessing technique and an improved training algorithm are presented. Comprehensive cases are compared in this paper. The experimental results indicate that with these techniques, the modified model has better performance. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Tao, L., Wenjun, Z., Jun, M., & Zhiping, Y. (2007). Improvement techniques for the EM-based neural network approach in RF components modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4491 LNCS, pp. 512–518). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_61
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
