Forecasting revenue passenger enplanements using wavelet-support vector machine

Forecasting revenue passenger enplanements using wavelet-support vector machine

Forecasting is an important element in an airline industry due to its capability in projecting airport activities that will reflect the relationship that drives aviation activities. A wavelet-support vector machine (WSVM) conjunction model for revenue passenger enplanements forecast is proposed in t...

Full description

Bibliographic Details
Main Author:	Zainuddin, Mohamad Aiman
Format:	Thesis
Language:	English
Published:	2015
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/54631/1/MohamadAimanZainuddinMFS2015.pdf

Similar Items

Forecasting revenue passenger enplanements using wavelet-support vector machine /
by: Mohamad Aiman Zainuddin, 1989-, et al.
Published: (2015)

Forecasting revenue passenger enplanements using wavelet-support vector machine [electronic resource] /
by: Mohamad Aiman Zainuddin, 1989-, et al.
Published: (2015)

Wavelet-support vector machine for forecasting palm oil price
by: Shabri, Ani, et al.
Published: (2019)

Streamflow forecasting at ungaged sites using support vector machines
by: Zakaria, Zaurahtul Amani, et al.
Published: (2012)

Combine holts winter and support vector machines in forecasting time series
by: Salisu, Alfa Mohammed
Published: (2013)

Fishery landing forecasting using EMD-based least square support vector machine models
by: Shabri, Ani
Published: (2015)

Stream flow forecasting using principal component analysis and least square support vector machine
by: Ismail, Shuhaida, et al.
Published: (2014)

Prediction of protein residue contact using support vector machine
by: Chan, Weng Howe, et al.
Published: (2011)

Empirical Mode Decomposition Coupled with Least Square Support Vector Machine for River Flow Forecasting
by: Ismail, Shuhaida, et al.
Published: (2015)

Empirical mode decomposition with least square support vector machine model for river flow forecasting
by: Ismail, Shuhaida
Published: (2016)

Time series forecasting of airline passenger no-shows using fir neural network
by: Muhammad Hussein, Muhammad Zaly Shah
Published: (2002)

Drought forecasting using wavelet-GMDH model with standardized precipitation index
by: Alfa, M. S., et al.
Published: (2019)

Models of air passenger traffic flows: A comparison of their forecasting effectiveness
by: Ismail, Suzilah
Published: (2006)

Combined forecast model involving wavelet-group methods of data handling for drought forecasting
by: Mohammed Salisu, Alfa
Published: (2021)

Extending the decomposition algorithm for support vector machines training
by: Zaki, N,M., et al.
Published: (2003)

Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures
by: Fildes, Robert, et al.
Published: (2011)

Fishery landing forecasting using wavelet-based autoregressive integrated moving average models
by: Shabri, Ani, et al.
Published: (2015)

VAR and GSTAR-BASED feature selection in support vector regression for multivariate spatio-temporal forecasting
by: Prastyo, D. D., et al.
Published: (2019)

An application of predicting student performance using kernel k-means and smooth support vector machine
by: Sajadin, Sembiring
Published: (2012)

A Hybrid Wavelet-Arima model for standardized precipitation index drought forecasting
by: Salisu, Alfa Mohammed, et al.
Published: (2020)

Belajar Least Squares Support Vector Machines (LS-SVM) dalam masa seminggu
by: Mohd Herwan, Sulaiman, et al.
Published: (2017)

Forecasting Stock Market Volatility Using Wavelet Transformation Algorithm Of Garch Model
by: Audu, Buba
Published: (2017)

Prediction of student’s academic performance during online learning based on regression in support vector machine
by: Samsudin, Nor Ain Maisarah, et al.
Published: (2022)

Self organizing map and least square support vector machine method for river flow modelling
by: Ismail, Shuhaida
Published: (2011)

Incorporating optimized local protein structures and granular support vector machines for structural class prediction
by: Hassan, Rohayanti
Published: (2011)

Prediction of student‘s academic performance during online learning based on regression in support vector machine
by: Samsudin, Nor Ain Maisarah, et al.
Published: (2022)

An investigation on leading characteristics of rapidkuantan bus passengers using correspondence analysis
by: Sharifah, Awang
Published: (2015)

Hybrid machine learning for forecasting and monitoring air pollution in Surabaya
by: Suhartono, Suhartono, et al.
Published: (2021)

Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets
by: Ismail, Mohd Tahir, et al.
Published: (2016)

Bioactivity classification of anti aids compounds using neural network and support vector machine: a comparison
by: A. Hamid, Rahayu
Published: (2004)

The determination of tidal constituents using wavelet base harmonic at The Strait of Malacca
by: Abubakar, A. G., et al.
Published: (2021)

Forecasting crude oil prices using discrete wavelet transform with autoregressive integrated moving average and Least Square Support Vector Machine combination approach
by: Md. Khair, N. Q. N., et al.
Published: (2017)

Tuning support vector machines for improving four-class emotion classification in virtual reality (VR) using heart rate features
by: Aaron Frederick Bulagang, et al.
Published: (2020)

EEG-based emotion classification using wavelet based features and support vector machine classifier
by: M. Razali, Normasliza
Published: (2015)

Improving grasshopper optimization algorithm for hyperparameters estimation and feature selection in support vector regression
by: Algamal, Zakariya Yahya, et al.
Published: (2021)

A hybrid of EMD-SVM based on extreme learning machine for crude oil price forecasting
by: Abdullah Ahmed, Rana, et al.
Published: (2014)

Three layer wavelet based modeling for river flow
by: Pandhiani, Siraj Muhammed
Published: (2019)

Classification of students based on quality of life and academic performance by using support vector machine / Raihana Zainordin and A.M. Farah Nabilah
by: Zainordin, Raihana, et al.
Published: (2018)

Maximal overlap discrete wavelet transform gaussian process regression for monthly crude oil price forecasting.
by: Hamid, Mohd. Helmie, et al.
Published: (2023)

Forecasting Natural Rubber Price in Malaysia by 2030
by: Mohamad Norizan, Nor Farah Hanim, et al.
Published: (2021)