Abstract
This paper reviews state-of-the art neural network (NN) modeling techniques for electromagnetic (EM) modeling. We describe the advantages of neural network models in terms of speed and accuracy. Conventional simulator based EM models are time consuming. An iterative evaluation of these models is used for the design parameters, which are CPU intensive. Neural network model can provide fast and accurate models for electromagnetic devices. Time domain EM modeling is also presented here using recurrent neural network (RNN) technique. The trained RNN model can be used in the circuit simulators for circuit analysis. Examples of neural network based EM models are also presented which proves that neural network base models are both fast and accurate and thus efficient for EM based design.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
