%0 Conference Proceedings
%T Hybridization of Haar Wavelet Decomposition and Computational Intelligent Algorithms for the Estimation of Climate Change Behavior
%+ University of Malaya = Universiti Malaya [Kuala Lumpur, Malaisie] (UM)
%+ International Islamic University
%+ AMCS Research Center
%+ University of Technology Malaysia
%A Chiroma, Haruna
%A Abdulkareem, Sameem
%A Abubakar, Adamu, I.
%A Sari, Eka, Novita
%A Herawan, Tutut
%A Gital, Abdulsalam, Ya’u
%Z Part 1: Information & Communication Technology-EurAsia Conference 2014, ICT-EurAsia 2014
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 2nd Information and Communication Technology - EurAsia Conference (ICT-EurAsia)
%C Bali, Indonesia
%Y David Hutchison
%Y Takeo Kanade
%Y Bernhard Steffen
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Gerhard Weikum
%Y Linawati
%Y Made Sudiana Mahendra
%Y Erich J. Neuhold
%Y A Min Tjoa
%Y Ilsun You
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Alfred Kobsa
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%I Springer
%3 Information and Communication Technology
%V LNCS-8407
%P 238-247
%8 2014-04-14
%D 2014
%R 10.1007/978-3-642-55032-4_23
%K Haar Wavelet Decomposition
%K Relevance Vector Machine
%K Adaptive Linear Neural Network
%K Climate Change
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X We propose a hybrid of haar wavelet decomposition, relevance vector machine, and adaptive linear neural network (HWD-RVMALNN) for the estimation of climate change behavior. The HWD-RVMALNN is able to improve estimation accuracy of climate change more than the approaches already discussed in the literature. Comparative simulation results show that the HWD-RVMALNN outperforms cyclical weight/bias rule, Levenberg-Marquardt, resilient back-propagation, support vector machine, and learning vector quantization neural networks in both estimation accuracy and computational efficiency. The model proposes in this study can provide future knowledge of climate change behavior. The future climate change behavior can be used by policy makers in formulating policies that can drastically reduce the negative impact of climate change, and be alert on possible consequences expected to occur in the future.
%G English
%Z TC 5
%Z TC 8
%2 https://inria.hal.science/hal-01397202/document
%2 https://inria.hal.science/hal-01397202/file/978-3-642-55032-4_23_Chapter.pdf
%L hal-01397202
%U https://inria.hal.science/hal-01397202
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-TC8
%~ IFIP-ICT-EURASIA
%~ IFIP-LNCS-8407