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.
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© 2007 Springer-Verlag Berlin Heidelberg
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Tao, L., Wenjun, Z., Jun, M., Zhiping, Y. (2007). Improvement Techniques for the EM-Based Neural Network Approach in RF Components Modeling. In: Liu, D., Fei, S., Hou, ZG., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72383-7_61
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DOI: https://doi.org/10.1007/978-3-540-72383-7_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72382-0
Online ISBN: 978-3-540-72383-7
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