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Construction of Advanced Machine Learning Models for Air Traffic

by Panjala Mounika , Nallani Chakravarthula Bhatracharyulu
Save 12% Save 12%
Current price ₹6,651.00
Original price ₹7,583.00
Original price ₹7,583.00
Original price ₹7,583.00
(-12%)
₹6,651.00
Current price ₹6,651.00

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Book cover type: Paperback
  • ISBN13: 9786208436483
  • Binding: Paperback
  • Subject: N/A
  • Publisher: LAP Lambert Academic Publishing
  • Publisher Imprint: LAP Lambert Academic Publishing
  • Publication Date:
  • Pages: 144
  • Original Price: GBP 59.94
  • Language: English
  • Edition: N/A
  • Item Weight: 200 grams
  • BISAC Subject(s): Probability & Statistics / General

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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