Cover Image

Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting

The aim of the thesis is to examine and analyze different aggregation algorithms to the forecasts obtained from individual neural network (NN) models in an ensemble. In this study an ensemble of 100 NN models are constructed with a heterogeneous architecture. The outputs from the individual NN mo...

Full description

Saved in:

Bibliographic Details
Main Author:	HASSAN, SAIMA
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Q Science (General)
Online Access:	http://utpedia.utp.edu.my/21193/1/2012-COMPUTER%20AND%20INFORMATION%20SCIENCES-NEURAL%20NETWORKS%20ENSEMBLE%20EVALUTION%20OF%20AGGREGATION%20ALGORITHMS%20FOR%20FORECASTING-SAIMA%20HASSAN.pdf http://utpedia.utp.edu.my/21193/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting
by: HASSAN, SAIMA
Published: (2013)

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
by: Hassan, S., et al.
Published: (2013)

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
by: Hassan, S., et al.
Published: (2013)

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
by: Hassan, S., et al.
Published: (2013)

Examining performance of aggregation algorithms for neural network-based electricity demand forecasting
by: Hassan, S., et al.
Published: (2015)

Electricity load demand forecast using fast ensemble-decomposed model
by: Ismail, Zuhaimy, et al.
Published: (2018)

Weather forecasting using artificial neural network
by: Wong, Wei Keat
Published: (2014)

Comparing forecasting performances between multilayer feedforward neural network and recurrent neural network in Malaysia's load
by: Mohamed, Norizan, et al.
Published: (2010)

Rainfall intensity forecast using ensemble artificial neural network and data fusion for tropical climate
by: Noor Zuraidin, Mohd Safar, et al.
Published: (2020)

Rainfall intensity forecast using ensemble artificial neural network and data fusion for tropical climate
by: Mohd Safar, Noor Zuraidin, et al.
Published: (2020)

Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting
by: Said , Jadid Abdulkadir, et al.
Published: (2014)

Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting
by: Said, Jadid Abdulkadir, et al.
Published: (2014)

Hybridization of ensemble kalman filter and non-linear auto-regressive neural network for financial forecasting
by: Abdulkadir, S.J., et al.
Published: (2014)

Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting
by: Lai, Fong Woon
Published: (2014)

Hybridization on Ensemble Kalman Filter and Non-Linear Auto-Regressive Neural Network for Financial Forecasting
by: Abdulkadir, Said Jadid, et al.
Published: (2014)

AN ENSEMBLE APPROACH OF METAHEURISTIC ALGORITHMS WITH PARABOLIC APPROXIMATION TO OPTIMIZE WELL PLACEMENT PROBLEM
by: ISLAM, JAHEDUL
Published: (2021)

Forecasting the annual carbon dioxide emissions of Malaysia using Lasso-GMDH neural network-based
by: Shabri, Ani
Published: (2022)

Ensemble classifiers for network intrusion detection system
by: Zainal, Anazida, et al.
Published: (2009)

The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data
by: Mumtazimah, Mohamad, et al.
Published: (2016)

Daily crude oil price forecasting using hybridizing wavelet and artificial neural network model
by: Shabri, Ani, et al.
Published: (2014)

The forecasting of poverty using the ensemble learning classification methods
by: Zamzuri, Muhammad Haziq Adli, et al.
Published: (2023)

Variance-covariance based weighing for neural network ensembles
by: Hassan, S., et al.
Published: (2013)

Variance-covariance based weighing for neural network ensembles
by: Hassan, S., et al.
Published: (2013)

Variance-covariance based weighing for neural network ensembles
by: Hassan, S., et al.
Published: (2013)

Comparison of Double Exponential Smoothing for Holt’s Method and Artificial Neural Network in Forecasting the Malaysian Banking Stock Markets
by: Bahtiar Jamili Zaini, et al.
Published: (2020)

Hybrid Neural Network With K-Means For Forecasting Response Candidate In Direct Marketing
by: Ramadhan, Rakhmat Sani
Published: (2014)

Improvement of time forecasting models using a novel hybridization of bootstrap and double bootstrap artificial neural networks
by: Zainuddin, Nurul Hila, et al.
Published: (2019)

GENETIC ALGORITHM WITH DEEP NEURAL NETWORK SURROGATE FOR THE OPTIMIZATION OF ELECTROMAGNETIC STRUCTURE
by: MOHAMMED SHARIFF, NUR ATIQAH
Published: (2020)

An Analysis of Large Data Classification using Ensemble Neural Network
by: Mumtazimah, Mohamad, et al.
Published: (2017)

Comparison of diverse ensemble neural network for large data classification
by: Mumtazimah, Mohamad, et al.
Published: (2015)

DEVELOPMENT OF TREE-BASED ENSEMBLE LEARNING ALGORITHMS FOR ESTIMATING TOTAL ORGANIC CARBON FROM WIRELINE LOGS
by: A RAHAMAN, MD SHOKOR
Published: (2021)

Tourism forecasting using hybrid modified empirical mode decomposition and neural network
by: Yahya, Nurhaziyatul Adawiyah, et al.
Published: (2017)

The reconstructed heterogeneity to enhance ensemble neural network for large data
by: Mumtazimah, Mohamad, et al.
Published: (2017)

The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data
by: Mohamad, Prof. Madya Ts. Dr. Mumtazimah, et al.
Published: (2016)

The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data
by: Mohamad, Prof. Madya Ts. Dr. Mumtazimah, et al.
Published: (2016)

Electricity load forecasting using hybrid of multiplicative double seasonal exponential smoothing model with artificial neural network
by: Shukur, Osamah Basheer, et al.
Published: (2014)

Comparison of different neural network training algorithms for wind velocity forecasting
by: KhalajiAssadi , Morteza, et al.
Published: (2016)

An ensemble of neural network and modified grey wolf optimizer for stock prediction
by: Das, Debashish
Published: (2019)

Complexity approximation of classification task for large dataset ensemble artificial neural networks
by: Mumtazimah, Mohamad, et al.
Published: (2019)

Age-based facial recognition using convoluted neural network deep learning algorithm
by: Julius Yong Wu Jien, et al.
Published: (2020)