Novel neural network modeling method and applications

作者：Fan Ping; Zhou Ri Gui^*; Chang Zhi Bo

来源：International Journal of RF and Microwave Computer-Aided Engineering, 2015, 25(9): 769-779.

DOI：10.1002/mmce.20915

• neural networks
• multidimensional neural network modeling
• microstrip hairpin filter
• computer-aided design

Neural networks play an important role for designing the parametric model of electromagnetic structures. The current neural network methods are unfit for a circuit model with many input variables because it is costly to extract a large number of the training data and test data to complete the highly nonlinear mapping approximation. This article proposes a new neural network modeling methodthe multidimensional neural network model, which can be used to solve the issue of multivariable radiofrequency and microwave passive device modeling. The entire multidimensional neural network modeling problem is simplified into a set of neural network submodels through decomposition method. Then the submodels are combined into an equivalent model, and the final entire model is produced through the neural-network mapping model developed with the submodels and equivalent model. A microstrip hairpin filter model is developed using the proposed method. The simulation results show the correctness and the effectivity of the proposed method.

• 出版日期2015-11