Autors: Marinova, I. Y., C. Panchev., D. Katsakos.
Title: A neural network inversion approach to electromagnetic device design
Keywords: Algorithms; Electric coils; Inverse problems; Mathematic

Abstract: In this paper we present a new model that employs, in a natural and effective way, a neural network inversion algorithm providing a solution of the electromagnetic device design problem. The model combines two types of artificial neural networks and applies a neural network inversion algorithm. Further development of this model can propose an efficient solution to the electromagnetic device design problem. The model is applied to the magnetic stimulation coil design as well as gradient coil design. The results obtained show the effectiveness of the proposed model.



    IEEE Transactions on Magnetics, vol. 36, issue 4, pp. 1080 - 1084, 2000, United States, DOI 10.1109/20.877628

    Цитирания (Citation/s):
    1. Lowther, David A. ‘The Application of Artificial Intelligence and Machine Learning in the Design Process for Electromagnetic Devices’. 1 Jan. 2023 : 237 – 254. - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science