Prediction of a Mode behavior Using Neural Network Method

Shin, Young-Sug; Kim, Seong-Tae; Kim, Heon-Ju; Kim, Jae-Young; Hwang, Chul-Ho

doi:2011.14.5.768

J. KIMS Technol > Volume 14(5); 2011 > Article

Journal of the Korea Institute of Military Science and Technology 2011;14(5):768-773.
DOI: https://doi.org/10.9766/KIMST.2011.14.5.768

Prediction of a Mode behavior Using Neural Network Method

Young-Sug Shin, Seong-Tae Kim, Heon-Ju Kim, Jae-Young Kim, Chul-Ho Hwang

신경회로망 기법을 이용한 모드 거동 예측

신영석, 김성태, 김헌주, 김재영, 황철호

국방과학연구소

Abstract

The prediction method of future events using the time histories of velocity or pressure, etc., is a useful way for controlling various air vehicles. For example, the sensors of velocity or pressure can be used to extract the time mode coefficients of eigenmode of flow field, and then the result is applied to suppress wake or drag. The velocity information is mapped to the entire flow field, so this mapping function can be used to predict the future events based on the current information. The mapping function is composed of the huge amount of weight parameters, so the efficient way of finding these parameters is needed. Here, the neural network algorithm is studied to draw a mapping function using the number and location of velocity sensors.

Key Words: Neural Network, Mapping Fuction, Prediction Method