Application of artificial neural networks for airline number of passenger estimation in time series state

Journal of Applied Sciences

Volumn 9, Issue 6, 2009, Pages 1001-1013

  Zandieh, M ^a   Azadeh, A ^b   Hadadi, B ^c   Saberi, M ^d  

^a SHAHID BEHESHTI UNIVERSITY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

^c Faculty of Mechanical and Industrial Engineering   (Iran)

^d TAFRESH UNIVERSITY   (Iran)

Author keywords

Airline number of passenger; Artificial neural network; Data envelopment analysis; Pre processed data; Prediction

Indexed keywords

ANN MODELS; AUTOCORRELATION FUNCTIONS; INPUT VARIABLES; KRUSKAL-WALLIS TESTS; MATLAB- SOFTWARE; PERCEPTRON; POST PROCESS; PRE-PROCESSED DATA;

DATA ENVELOPMENT ANALYSIS; FORECASTING; MATLAB; NEURAL NETWORKS;

ESTIMATION;

EID: 67649604328     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2009.1001.1013     Document Type: Article

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