ロード中...

Predicting the Dispersion Relations of One-Dimensional Phononic Crystals by Neural Networks

In this paper, deep back propagation neural networks (DBP-NNs) and radial basis function neural networks (RBF-NNs) are employed to predict the dispersion relations (DRs) of one-dimensional (1D) phononic crystals (PCs). The data sets generated by transfer matrix method (TMM) are used to train the NNs...

詳細記述

保存先:
書誌詳細
出版年:Sci Rep
主要な著者: Liu, Chen-Xu, Yu, Gui-Lan
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6814748/
https://ncbi.nlm.nih.gov/pubmed/31653907
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-51662-3
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!