Estimating missing daily rainfall data via artificial neural network over peninsular Malaysia

QR Code

Estimating missing daily rainfall data via artificial neural network over peninsular Malaysia

The presence of missing rainfall data has always known to be an obstacle for rain gauge stations to preserve a serially complete real time rainfall database. Various techniques were implemented in dealing with missing rainfall data in the past but artificial neural network (ANN) models have also gra...

Full description

Bibliographic Details
Main Author:	Loh, Wing Son
Format:	Final Year Project / Dissertation / Thesis
Published:	2021
Subjects:	QA Mathematics
Online Access:	http://eprints.utar.edu.my/4980/ http://eprints.utar.edu.my/4980/1/MEME15110_Project_LohWingSon_20UEM00089.pdf

Similar Items

Estimating Missing Precipitation to Optimize Parameters for Prediction of Daily Water Level Using Artificial Neural Network
by: Dayang Suhaila, Awang Suhaili
Published: (2006)

Daily rainfall modeling using neural network
by: S. D., Permai, et al.
Published: (2021)

Missing data estimation on heart disease using artificial neural network and rough set theory
by: A.F.M., Hani, et al.
Published: (2007)

Statistical analysis in estimating missing rainfall data / Norlaila Hamzah
by: Hamzah, Norlaila
Published: (2006)

Revised spatial weighting methods for estimation of missing rainfall data
by: Suhaila, Jamaludin, et al.
Published: (2008)

Fitting daily rainfall distribution in peninsular Malaysia
by: Kong, Wen Gie
Published: (2022)

Artificial neural network for modelling rainfall-runoff
by: Tayebiyan, Aida, et al.
Published: (2016)

Estimation of Missing Rainfall Data Using Spatial Interpolation and Imputation Methods
by: Roslinazairimah, Zakaria, et al.
Published: (2015)

Comparison of daily rainfall forecasting using multilayer perceptron neural network model
by: Masngut, Mazwin Arleena, et al.
Published: (2020)

Simulation study of adjusted spatial weighting method to estimate missing rainfall data
by: Muhammad Az-Zuhri, Azman, et al.
Published: (2018)

Artificial Neural Network Model For Rainfall-Runoff Relationship
by: Harun, Sobri, et al.
Published: (2002)

Rainfall-runoff modelling using artificial neural network
by: Harun, Sobri, et al.
Published: (2001)

Artificial neural network forecasting performance with missing value imputations
by: Abd Rahman, Nur Haizum, et al.
Published: (2020)

The effectiveness of a probabilistic principal component analysis model and expectation maximisation algorithm in treating missing daily rainfall data
by: Chuan, Zun Liang, et al.
Published: (2020)

Fitting the statistical distributions to the daily rainfall amount in Peninsular Malaysia
by: Jamaludin, Suhaila, et al.
Published: (2007)

Estimation of Missing Rainfall Data in Pahang using Modified Spatial Interpolation Weighting Methods
by: Roslinazairimah, Zakaria, et al.
Published: (2015)

Comparison of methods to estimate missing rainfall data for short term period at UMP Gambang
by: A. A. G., Nadiatul Adilah, et al.
Published: (2021)

Rainfall-runoff modelling using artificial neural network method
by: Ahmat Nor, Nor Irwan
Published: (2005)

Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data
by: Noor Ain , Mohd Nasir@Mazlan
Published: (2015)

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)

Assessment of [GIS] spatial interpolation methods in estimating rainfall missing data / Norazimah Hani Ismail
by: Ismail, Norazimah Hani
Published: (2018)

Estimating The R-Factor With Limited Rainfall Data In Peninsular Malaysia
by: Ng, Pei Pei
Published: (2005)

Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia
by: Al Mamun, Abdullah, et al.
Published: (2018)

A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia
by: Che Mat Nor, Siti Mariana, et al.
Published: (2020)

Daily wind speed prediction in Kota Bharu using artificial neural network
by: Salam, Suhanawati
Published: (2007)

Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah
by: Che Ghani, Nor Zaimah, et al.
Published: (2014)

Frequency analysis of maximum daily rainfalls via L-moment approach
by: Ani Shabri,, et al.
Published: (2009)

Comparison of missing rainfall data treatment analysis at Kenyir Lake
by: Azreen Harina, Azman, et al.
Published: (2021)

The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia
by: Harisaweni,, et al.
Published: (2016)

Fitting the statistical distribution for daily rainfall in Peninsular Malaysia based on AIC criterion
by: Syed Jamaludin, Shariffah Suhaila, et al.
Published: (2008)

Missing attribute value prediction based on artificial neural network and rough set theory
by: A.F.M., Hani, et al.
Published: (2008)

Determination of the best single imputation algorithm for missing rainfall data treatment
by: Gamil Abdulraqeb Abdullah Saeed,, et al.
Published: (2016)

Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2016)

A clonal selection algorithm model for daily rainfall data prediction
by: Noor Rodi, Nur Syazwani, et al.
Published: (2014)

Relationship between short duration and daily rainfall data in Kuala Lumpur
by: Salleh, Md. Noor, et al.
Published: (2013)

Heavy Rainfall Forecasting Model Using Artificial Neural Network for Flood Prone Area
by: Junaida, Sulaiman, et al.
Published: (2018)

Assessing the risk of root rots in common beans in East Africa using simulated, estimated and observed daily rainfall data
by: Farrow, A., et al.
Published: (2011)

A systematic review of recurrent neural network adoption in missing data imputation
by: Nur Aqilah, Fadzil Akbar, et al.
Published: (2025)

Neural networks for forecasting daily reservoir inflows
by: Karimi-Googhari, Shahram, et al.
Published: (2010)