Construction of Advanced Machine Learning Models for Air Traffic - Brossura

Mounika, Panjala; Bhatracharyulu, Nallani Chakravarthula

 
9786208436483: Construction of Advanced Machine Learning Models for Air Traffic
Brossura
ISBN 10: 6208436486 ISBN 13: 9786208436483
Casa editrice: LAP LAMBERT Academic Publishing, 2025

Sinossi

This book explores the application of various time series and machine learning techniques to model and forecast domestic airline traffic. It provides a comprehensive study of traditional and modern predictive approaches. It presents an extensive literature review on airline traffic modeling, covering traditional time series methods(Holt’s Winter, ARIMA, SARIMA) alongside advanced machine learning techniques(FFNN, MLP, LSTM). A comparative analysis of these methods, highlighting their strengths and limitations, is also included. Further, it explores the Bayesian estimation of SARIMA model parameters. The estimated parameters and predictions are compared with the traditional maximum likelihood approach. It extends the research by introducing mixture models, hybrid approaches, and simple averaging techniques to enhance predictive accuracy. The effectiveness of these models is evaluated through comparative analysis.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2025
Lingua
Inglese
ISBN 10 
6208436486
ISBN 13 
9786208436483
Rilegatura
Copertina flessibile
Numero di pagine
144
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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