Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow Modeling

Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes

(2020) Pouya Aghelpour et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Application of hybrid ANN-whale optimization model in evaluation of the field capacity and the permanent wilting point of the soils

(2020) Babak Vaheddoost et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

(2020) Babak Mohammadi et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

(2020) Babak Mohammadi et al.   AGRICULTURAL WATER MANAGEMENT

Estimation of solar radiation using neighboring stations through hybrid support vector regression boosted by Krill Herd algorithm

(2020) Babak Mohammadi et al.   Arabian Journal of Geosciences

Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm

(2020) Quoc Bao Pham et al.   SOFT COMPUTING

Hybrid artificial intelligence-time series models for monthly streamflow modeling

(2019) Saeid Mehdizadeh et al.   APPLIED SOFT COMPUTING

“Prediction of effective climate change indicators using statistical downscaling approach and impact assessment on pearl millet (Pennisetum glaucum L.) yield through genetic algorithm in Punjab, Pakistan” by Asmat Ullah, Nasrin Salehnia, Sohrab Kolsoumi, Ashfaq Ahmad, Tasneem Khaliq

(2019) Babak Mohammadi   ECOLOGICAL INDICATORS

Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation

(2019) Zainab Abdulelah Al-Sudani et al.   JOURNAL OF HYDROLOGY

Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA

(2019) Pouya Aghelpour et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models

(2019) Farshad Fathian et al.   JOURNAL OF HYDROLOGY

Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature

(2019) Roozbeh Moazenzadeh et al.   GEODERMA

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches

(2019) Yazid Tikhamarine et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Predicting total phosphorus levels as indicators for shallow lake management

(2019) Babak Mohammadi   ECOLOGICAL INDICATORS

Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach

(2019) Saeid Mehdizadeh et al.   JOURNAL OF HYDROLOGY

Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm

(2019) Yazid Tikhamarine et al.   JOURNAL OF HYDROLOGY

Using AR, MA, and ARMA Time Series Models to Improve the Performance of MARS and KNN Approaches in Monthly Precipitation Modeling under Limited Climatic Data

(2019) Saeid Mehdizadeh   WATER RESOURCES MANAGEMENT

Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants

(2018) Hugo Siqueira et al.   APPLIED SOFT COMPUTING

Estimation of daily reference evapotranspiration (ET o ) using artificial intelligence methods: Offering a new approach for lagged ET o data-based modeling

(2018) Saeid Mehdizadeh   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting using continuous wavelet and multi-gene genetic programming combination

(2018) Sinan Jasim Hadi et al.   JOURNAL OF HYDROLOGY

Simulation and forecasting of streamflows using machine learning models coupled with base flow separation

(2018) Hakan Tongal et al.   JOURNAL OF HYDROLOGY

A Comparative Study of Autoregressive, Autoregressive Moving Average, Gene Expression Programming and Bayesian Networks for Estimating Monthly Streamflow

(2018) Saeid Mehdizadeh et al.   WATER RESOURCES MANAGEMENT

Examining the applicability of different sampling techniques in the development of decomposition-based streamflow forecasting models

(2018) Wei Fang et al.   JOURNAL OF HYDROLOGY

A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran

(2018) Babak Jahani et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A comparison of monthly precipitation point estimates at 6 locations in Iran using integration of soft computing methods and GARCH time series model

(2017) Saeid Mehdizadeh et al.   JOURNAL OF HYDROLOGY

Daily Mean Streamflow Prediction in Perennial and Non-Perennial Rivers Using Four Data Driven Techniques

(2017) Sajjad Abdollahi et al.   WATER RESOURCES MANAGEMENT

Optimisation of Multiple Hydropower Reservoir Operation Using Artificial Bee Colony Algorithm

(2017) Shi-Mei Choong et al.   WATER RESOURCES MANAGEMENT

New Approaches for Estimation of Monthly Rainfall Based on GEP-ARCH and ANN-ARCH Hybrid Models

(2017) Saeid Mehdizadeh et al.   WATER RESOURCES MANAGEMENT

Training feedforward neural networks using multi-verse optimizer for binary classification problems

(2016) Hossam Faris et al.   APPLIED INTELLIGENCE

Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree

(2016) Ozgur Kisi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

CEREF: A hybrid data-driven model for forecasting annual streamflow from a socio-hydrological system

(2016) Hongbo Zhang et al.   JOURNAL OF HYDROLOGY

Probabilistic Inference Coupled with Possibilistic Reasoning for Robust Estimation of Hydrologic Parameters and Piecewise Characterization of Interactive Uncertainties

(2016) S. Wang et al.   JOURNAL OF HYDROMETEOROLOGY

Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques

(2016) Ozgur Kisi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

(2016) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments

(2016) D. Anghileri et al.   WATER RESOURCES RESEARCH

Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

(2015) Seyedali Mirjalili et al.   NEURAL COMPUTING & APPLICATIONS

Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting

(2014) Zhiyong Liu et al.   JOURNAL OF HYDROLOGY

A Four-Stage Hybrid Model for Hydrological Time Series Forecasting

(2014) Chongli Di et al.   PLoS One

A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

(2013) Zhibin He et al.   JOURNAL OF HYDROLOGY

Forecasting of monthly river flow with autoregressive modeling and data-driven techniques

(2013) Özlem Terzi et al.   NEURAL COMPUTING & APPLICATIONS

Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

(2012) Jan Adamowski et al.   JOURNAL OF HYDROINFORMATICS

River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches

(2012) Hadi Sanikhani et al.   WATER RESOURCES MANAGEMENT

Intermittent Streamflow Forecasting by Using Several Data Driven Techniques

(2011) Ozgur Kisi et al.   WATER RESOURCES MANAGEMENT

Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran

(2010) E. Assareh et al.   ENERGY