@article{oai:muroran-it.repo.nii.ac.jp:00010409,
 author = {KUDO, Koji and MORIMOTO, Keita and 森本, 佳太 and IGUCHI, Akito and 井口, 亜希人 and TSUJI,  Yasuhide and 辻, 寧英},
 issue = {11},
 journal = {IEICE Transactions on Electronics},
 month = {},
 note = {application/pdf, We propose a new design approach to improve the computational efficiency of an optimal design of optical waveguide devices utilizing coupled mode theory (CMT) and a neural network (NN). Recently, the NN has begun to be used for efficient optimal design of optical devices. In this paper, the eigenmode analysis required in the CMT is skipped by using the NN, and optimization with an evolutionary algorithm can be efficiently carried out. To verify usefulness of our approach, optimal design examples of a wavelength insensitive 3dB coupler, a 1 : 2 power splitter, and a wavelength demultiplexer are shown and their transmission properties obtained by the CMT with the NN (NN-CMT) are verified by comparing with those calculated by a finite element beam propagation method (FE-BPM).},
 pages = {552--559},
 title = {A Study on Optimal Design of Optical Devices Utilizing Coupled Mode Theory and Machine Learning},
 volume = {103},
 year = {2020},
 yomi = {モリモト, ケイタ and イグチ, アキト and ツジ, ヤスヒデ}
}