Application of Artificial Neural Network to Predict the use of Runway at Juanda International Airport

International Conference on Innovative Research - ICIR Euroinvent 2017

Putra, J.C.P.^1 ; Safrilah^1

Department of Civil Engineering, Universitas Bakrie, Jl. HR Rasuna Said, Kav. C-22, Jakarta Selatan

12940, Indonesia^1

关键词: Artificial neural network approach;    Artificial neural network modeling;    International airport;    Learning process;    Multi layer perceptron;    Runway capacity;    Testing data;    Training data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/209/1/012107/pdf
DOI  :  10.1088/1757-899X/209/1/012107

来源: IOP

【 摘 要 】

Artificial neural network approaches are useful to solve many complicated problems. It solves a number of problems in various areas such as engineering, medicine, business, manufacturing, etc. This paper presents an application of artificial neural network to predict a runway capacity at Juanda International Airport. An artificial neural network model of backpropagation and multi-layer perceptron is adopted to this research to learning process of runway capacity at Juanda International Airport. The results indicate that the training data is successfully recognizing the certain pattern of runway use at Juanda International Airport. Whereas, testing data indicate vice versa. Finally, it can be concluded that the approach of uniformity data and network architecture is the critical part to determine the accuracy of prediction results.