Construction of Advanced Machine Learning Models for Air Traffic

Language: English

Published by LAP LAMBERT Academic Publishing Mär 2025, 2025

6208436486 / 9786208436483

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.…

Seller Inventory # 9786208436483

Title
Construction of Advanced Machine Learning Models for Air Traffic
Author
Panjala Mounika
Publisher
LAP LAMBERT Academic Publishing Mär 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6208436486
ISBN 13
9786208436483
Item weight
233 grams
Dimensions
220x150x10 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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