南京航空航天大学主页平台管理系统 Zhang Yang--Home-- A deep neural network based glottal flow model for predicting fluid-structure interactions during voice production

location： Current position: Home >> Scientific Research >> Paper Publications

A deep neural network based glottal flow model for predicting fluid-structure interactions during voice production

Hits:

Title of Paper:A deep neural network based glottal flow model for predicting fluid-structure interactions during voice production

Journal:Applied Sciences

Indexed by:Journal paper

Document Code:10: 705

Document Type:J

Translation or Not:no

Date of Publication:2020-01-31

Included Journals:SCIE

Pre One:Numerical investigation on the added resistance and seakeeping performance of KVLCC2 with the SWENSE method

Next One:Simulation of Fluid-Structure Interaction Using Domain- Free Discretization (DFD) and a Predictor-Corrector Coupling Approach