Do quadratic and Poisson regression models help to predict monthly rainfall?

[1]  Pin-Chan Lee,et al.  A Hybrid Grey Model to Forecast the Annual Maximum Daily Rainfall , 2019, KSCE Journal of Civil Engineering.

[2]  Shilpa Hudnurkar,et al.  Performance of Artificial Neural Network in Nowcasting Summer Monsoon Rainfall: A case Study , 2018, 2018 IEEE Punecon.

[3]  Saratha Sathasivam,et al.  A new hybrid quadratic regression and cascade forward backpropagation neural network , 2016, Neurocomputing.

[4]  Koichi Nakayama,et al.  A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency , 2017, Appl. Soft Comput..

[5]  Hanne Fjelde,et al.  Climate triggers: Rainfall anomalies, vulnerability and communal conflict in Sub-Saharan Africa , 2012 .

[6]  A. Bello,et al.  Monthly rainfall prediction using artificial neural network: A case study of Kano, Nigeria , 2018, Environmental and Earth Sciences Research Journal.

[7]  Adil M. Bagirov,et al.  Prediction of monthly rainfall in Victoria, Australia: Clusterwise linear regression approach , 2017 .

[8]  Young-Oh Kim,et al.  Comparison of hydrological models for the assessment of water resources in a data-scarce region, the Upper Blue Nile River Basin , 2017 .

[9]  Geert Sterk,et al.  Rainwater harvesting and management in rainfed agricultural systems in sub-Saharan Africa - A review , 2012 .

[10]  J. Chavas,et al.  On Crop Biodiversity, Risk Exposure, and Food Security in the Highlands of Ethiopia , 2009 .

[11]  M. Lazri,et al.  Novel WkNN-based technique to improve instantaneous rainfall estimation over the north of Algeria using the multispectral MSG SEVIRI imagery , 2019, Journal of Atmospheric and Solar-Terrestrial Physics.

[12]  Bahram Gharabaghi,et al.  Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate. , 2018, Journal of environmental management.

[13]  Özgür Kisi,et al.  Monthly long-term rainfall estimation in Central India using M5Tree, MARS, LSSVR, ANN and GEP models , 2019, Neural Computing and Applications.

[14]  Farouq S Mjalli,et al.  Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance. , 2007, Journal of environmental management.

[15]  Yi Han,et al.  Overview of Artificial Neural Networks , 2009, Artificial Neural Networks.

[16]  Mostafa Safdari Shadloo,et al.  Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations , 2020 .

[17]  Ahmad Khairi Abd. Wahab,et al.  Physical-empirical models for prediction of seasonal rainfall extremes of Peninsular Malaysia , 2020 .

[18]  Mohd Zubir Mat Jafri,et al.  Multiple regression analysis in modelling of carbon dioxide emissions by energy consumption use in Malaysia , 2015 .

[19]  Surajit Chattopadhyay,et al.  Conjugate gradient descent learned ANN for Indian summer monsoon rainfall and efficiency assessment through Shannon-Fano coding , 2018, Journal of Atmospheric and Solar-Terrestrial Physics.

[20]  K. L. Edwards,et al.  The use of artificial neural networks in materials science based research , 2007 .

[21]  I. Hossain,et al.  Long-term seasonal rainfall forecasting using linear and non-linear modelling approaches: a case study for Western Australia , 2019, Meteorology and Atmospheric Physics.

[23]  Binh Thai Pham,et al.  Development of advanced artificial intelligence models for daily rainfall prediction , 2020, Atmospheric Research.

[24]  M. Sadeghzadeh,et al.  A hybrid of ANN and CLA to predict rainfall , 2018, Arabian Journal of Geosciences.

[25]  Yu Yao,et al.  Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network , 2020, Water Resources Management.

[26]  H. Purnomo,et al.  Artificial Neural Network for Monthly Rainfall Rate Prediction , 2017 .

[27]  L. Christiaensen,et al.  Consumption Risk, Technology Adoption, and Poverty Traps: Evidence from Ethiopia , 2007 .

[28]  Duong Tran Anh,et al.  Improved Rainfall Prediction Using Combined Pre-Processing Methods and Feed-Forward Neural Networks , 2019, J.

[29]  Ali Barati-Harooni,et al.  An accurate RBF-NN model for estimation of viscosity of nanofluids , 2016 .

[30]  Z. Yaseen,et al.  Annual Rainfall Forecasting Using Hybrid Artificial Intelligence Model: Integration of Multilayer Perceptron with Whale Optimization Algorithm , 2020, Water Resources Management.

[31]  Kamran Sepanloo,et al.  Estimation of research reactor core parameters using cascade feed forward artificial neural networks , 2009 .

[32]  Isaac K. Tetteh,et al.  Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture? , 2016 .

[33]  Wenyong Wang,et al.  A SVR-ANN combined model based on ensemble EMD for rainfall prediction , 2018, Appl. Soft Comput..

[34]  J. Cho,et al.  Multiple Linear Regression Models for Predicting Nonpoint-Source Pollutant Discharge from a Highland Agricultural Region , 2018, Water.

[35]  O. Olayide,et al.  Between rainfall and food poverty: Assessing vulnerability to climate change in an agricultural economy , 2018, Journal of Cleaner Production.

[36]  Lemuel Clark P. Velasco,et al.  Week-ahead Rainfall Forecasting Using Multilayer Perceptron Neural Network , 2019, Procedia Computer Science.

[37]  S. West,et al.  The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives , 2009, Journal of personality assessment.

[38]  Amelia Ritahani Ismail,et al.  Monthly Rainfall Prediction Model of Peninsular Malaysia Using Clonal Selection Algorithm , 2018 .

[39]  Yong Xiang,et al.  Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts , 2020, Journal of Hydrology.

[40]  E. Viglizzo,et al.  Water use in rain-fed farming at different scales in the Pampas of Argentina , 2012 .

[41]  Y. Kassem,et al.  Solar Energy Technology for Northern Cyprus: Assessment, Statistical Analysis, and Feasibility Study , 2020, Energies.

[42]  M. Javari Assessment of Temperature and Elevation Controls on Spatial Variability of Rainfall in Iran , 2017 .

[43]  Mohamed M. Morsy,et al.  Modeling urban coastal flood severity from crowd-sourced flood reports using Poisson regression and Random Forest , 2018 .

[44]  H. Gökçekus,et al.  Analysis of different combinations of meteorological parameters in ‎predicting rainfall with an ANN‎ approach: a case study in Morphou, ‎Northern Cyprus , 2020 .

[45]  Bijaya K. Panigrahi,et al.  Rainfall prediction for the Kerala state of India using artificial intelligence approaches , 2018, Comput. Electr. Eng..

[46]  Adigun Paul Ayodele,et al.  Seasonal Rainfall Prediction in Lagos, Nigeria Using Artificial Neural Network , 2019, Asian Journal of Research in Computer Science.

[47]  B. Shiferaw,et al.  Rainfall shocks and agricultural productivity: Implication for rural household consumption , 2018, Agricultural Systems.

[48]  A. Russo,et al.  Copula-based agricultural drought risk of rainfed cropping systems , 2019, Agricultural Water Management.

[49]  Ataur Rahman,et al.  Selection of the best fit probability distribution in rainfall frequency analysis for Qatar , 2017, Natural Hazards.