Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks

QR Code

Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks

Soil erodibility (K) is an essential component in estimating soil loss indicating the soil's susceptibility to detach and transport. Data Computing and processing methods, such as artificial neural networks (ANNs) and multiple linear regression (MLR), have proven to be helpful in the developmen...

Full description

Bibliographic Details
Published in:	Heliyon
Main Author:	Rehman M.A.; Abd Rahman N.; Ibrahim A.N.H.; Kamal N.A.; Ahmad A.
Format:	Article
Language:	English
Published:	Elsevier Ltd 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189442828&doi=10.1016%2fj.heliyon.2024.e28854&partnerID=40&md5=4023a18f76ffe1fca4cfcf59708d43c5

Similar Items

Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks
by: Rehman, et al.
Published: (2024)

Predicting particulate matter (PM2.5) in Malaysia using Multiple Linear Regression and Artificial Neural Network
by: Sobri N.M.; Wan Yaacob W.F.; Ismail N.A.; Malik M.A.A.; Rahman R.A.; Baser N.A.; Sukhairi S.A.M.
Published: (2021)

Relationship between soil erodibility and shear wave velocity: A feasibility study
by: Rehman M.A.; Abd Rahman N.; Masli M.N.; Mohd Razali S.F.; Mohd Taib A.; Ahmad Kamal N.; Jusoh H.; Ahmad A.
Published: (2022)

Predicting of the physique performance and accuracy of college students based on multiple linear regression and BP neural network
by: Huang X.; Sulaiman M.S.B.; Rosli M.M.; Binchun J.
Published: (2023)

MULTIPLE LINEAR REGRESSION MODELLING FOR THE COMPACTION CHARACTERISTICS OF SEDIMENTARY SOIL MIXED BENTONITE AS COMPACTED LINER
by: Khalid N.; Mukri M.; Zain N.M.; Razak Z.; Jais I.M.
Published: (2023)

Artificial Neural Network non-linear auto regressive moving average (NARMA) model for internet traffic prediction
by: Sahrani M.N.; Zan M.M.M.; Yassin I.M.; Zabidi A.; Ali M.S.A.M.
Published: (2017)

Riverbank erosion rates prediction incorporating soil erodibility and soil properties relationship: Bernam River, Malaysia case study
by: Ibrahim S.L.; Ariffin J.; Saadon A.
Published: (2017)

Multiple Linear Regression Model for Total Bed Material Load Prediction
by: Sinnakaudan S.K.; Ghani A.A.; Ahmad M.S.; Zakaria N.A.
Published: (2006)

Simulating the Upcoming Trend of Malaysia’s Unemployment Rate Using Multiple Linear Regression
by: Mohamad Adib N.S.Y.; Mohd Ibrahim A.A.; Abdul Halim M.H.
Published: (2021)

Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region)
by: Wahyuni F.; Wildani Z.; Purnamasari R.
Published: (2024)

Comparison of solar radiation intensity forecasting using ANFIS and multiple linear regression methods
by: Suyono H.; Hasanah R.N.; Setyawan R.A.; Mudjirahardjo P.; Wijoyo A.; Musirin I.
Published: (2018)

Multiple Linear Regression on Ultra-Low Frequency (ULF) and Solar Wind for Earthquake Precursor Purposes
by: Umar, et al.
Published: (2023)

The Effect of Occupant in Energy Consumption Prediction via Multiple Linear Regression Model in an Educational Building
by: Mustapa R.F.; Nordin A.H.M.; Hairuddin M.A.; Mahadan M.E.; Dahlan N.Y.; Yassin I.M.
Published: (2024)

The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression
by: Habshah M.; Norazan M.R.; Imon A.H.M.R.
Published: (2009)

Different Approaches of Multiple Linear Regression (MLR) Model in Predicting Ozone (O3) Concentration in Industrial Area
by: Napi N.N.L.M.; Abdullah S.; Mansor A.A.; Ghazali N.A.; Ahmed A.N.; Dom N.C.; Ismail M.
Published: (2023)

THE EFFECT OF SECURITY IN THE GREEN BUILDING PRICE PREDICTION MODEL: A COMPARISON BETWEEN MULTIPLE LINEAR REGRESSION AND MACHINE LEARNING APPROACHES
by: Mohd T.; Masrom S.; Jamil N.S.; Harussani M.
Published: (2024)

A review of artificial neural network learning rule based on multiple variant of conjugate gradient approaches
by: Farizawani A.G.; Puteh M.; Marina Y.; Rivaie A.
Published: (2020)

Factors that lead to misbehaviour in class according to students' perception at UiTM Seremban 3 using Multiple Linear Regression (MLR) analysis
by: Saharizan M.D.; Sam M.M.M.; Kahar N.S.M.; Yasin Z.A.M.M.
Published: (2021)

Short term load forecasting (STLF) using artificial neural network based multiple lags of time series
by: Harun M.H.H.; Othman M.M.; Musirin I.
Published: (2009)

MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
by: Rahman A.F.B.A.; Fekri W.N.F.W.A.; Fauzi N.Z.M.; Zukri S.M.; Hamzah N.H.
Published: (2022)

MODELLING THE STUDENTS' PERCEPTION TOWARDS ENTREPRENEURSHIP IN HIGHER EDUCATIONAL INSTITUTION USING MULTIPLE LINEAR REGRESSION MODEL; [Memodel Persepsi Pelajar Terhadap Keusahawanan di Institusi Pengajian Tinggi Menggunakan Model Regresi Linear Berganda]
by: Abdullah N.A.; Jusoff M.K.S.; Kadir S.A.; Hamzah N.H.; Ibrahim N.S.; Ibrahim N.B.
Published: (2021)

Assessing the prevalence of obesity and overweight amongst senior citizens in Selangor, Malaysia using logistic regression, artificial neural network and decision tree
by: Haron N.A.; Ramli N.A.; Ismail N.Z.-I.
Published: (2024)

A new gradient method for solving linear regression model
by: Zull N.; Aini N.; Rivaie M.; Mamat M.
Published: (2019)

Artificial neural network and convolutional neural network for prediction of dental caries
by: Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
Published: (2024)

Artificial neural network and convolutional neural network for prediction of dental caries
by: Basri, et al.
Published: (2024)

Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
by: Yong S.L.S.; Ng J.L.; Huang Y.F.; Ang C.K.; Ahmad Kamal N.; Mirzaei M.; Najah Ahmed A.
Published: (2024)

Comparative Analysis of Regression Techniques for Software Effort Estimation
by: Jayadi P.; Ahmad K.A.B.
Published: (2023)

Development of linear regression model for brick waste generation in Malaysian construction industry
by: Hassan S.H.; Aziz H.A.; Zakariah Z.; Noor S.M.; Majid M.R.A.; Karim N.A.
Published: (2019)

A comparative assessment of the LWR-IM traffic model using linear regression
by: Ng K.M.; Reaz M.B.I.; Ali M.A.M.; Razak N.A.
Published: (2016)

Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
by: Yong, et al.
Published: (2024)

Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
by: Shang, et al.
Published: (2024)

Disaster management system using artificial neural network
by: Wan Abdull Hamid W.A.S.H.; Hussin M.F.; Samsudin K.; Yassin A.I.M.; Rafi A.M.
Published: (2017)

Classification of thumbprint using Artificial Neural Network (ANN)
by: Naim N.F.; Yassin A.I.M.; Zakaria N.B.; Wahab N.A.
Published: (2011)

Logic design for linear regression model using ASIC in engine oil degradation monitoring system
by: Idros M.F.M.; Razak A.H.A.; Azmi M.F.; Suliman S.I.; Halim A.K.; Khairudin N.
Published: (2017)

Linear regression and R-squared correlation analysis on major nuclear online plant cooling system
by: Mohamad Nor A.A.; Minhat M.S.; Ya'acob N.; Kassim M.
Published: (2023)

Partial Robust M-Regression Estimator in the Presence of Multicollinearity and Vertical Outliers
by: Noh N.H.M.; Moktar B.; Yusoff S.; Majid M.N.A.
Published: (2020)

Prediction of soil settlement on soft clay soil using normalized rotational multiple yield surface framework (Nrmysf)
by: Hamid H.A.; Noor M.J.M.; Alias R.; Alias A.
Published: (2023)

Covariates and sample size effects on parameter estimation for binary logistic regression model
by: Hamid H.A.; Wah Y.B.; Xie X.-J.
Published: (2016)

Selected Malaysia stock predictions using artificial neural network
by: Bahrun P.N.; Taib M.N.
Published: (2009)

Human posture recognition using android smartphone and artificial neural network
by: Idris M.I.; Zabidi A.; Yassin I.M.; Ali M.S.A.M.
Published: (2016)