Meysam Alizamir

发表

Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network

Shahaboddin Shamshirband, Khamaruzaman Wan Yusof, Kwok-wing Chau, 2018 .

Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters

Shahaboddin Shamshirband, Amir Mosavi, Timon Rabczuk, 2018, Energies.

Estimation of the laser cutting operating cost by support vector regression methodology

Srđan Jović, Dalibor Petković, Meysam Alizamir, 2016 .

Forecasting accident frequency of an urban road network: A comparison of four artificial neural network techniques

Hamid Behbahani, Meysam Alizamir, Amir Mohamadian Amiri, 2018 .

Economic growth forecasting by artificial neural network with extreme learning machine based on trade, import and export parameters

Igor Mladenovic, Milos Milovancevic, Meysam Alizamir, 2016, Comput. Hum. Behav..

Conjunction Model Design for Intermittent Streamflow Forecasts: Extreme Learning Machine with Discrete Wavelet Transform

Ozgur Kisi, Jalal Shiri, Meysam Alizamir, 2021 .

Solar Radiation Estimation in Mediterranean Climate by Weather Variables Using a Novel Bayesian Model Averaging and Machine Learning Methods

Özgür Kisi, Sungwon Kim, Jalal Shiri, 2020, Neural Processing Letters.

Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction

Ozgur Kisi, Cihan Mert, Ali Najah Ahmed, 2020, Environmental Science and Pollution Research.

Extreme learning machine for prediction of heat load in district heating systems

Shahaboddin Shamshirband, Ali Mostafaeipour, Azizah Abdul Manaf, 2016 .

Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies

Ozgur Kisi, Meysam Alizamir, Alban Kuriqi, 2020, Acta Geophysica.

Expression of Concern: Estimation of the laser cutting operating cost by support vector regression methodology

Srđan Jović, Dalibor Petković, Meysam Alizamir, 2019 .

Forecasting of heavy metals concentration in groundwater resources of Asadabad plain using artificial neural network approach

Meysam Alizamir, Soheil Sobhanardakani, S. Sobhanardakani, 2016 .

Deep echo state network: a novel machine learning approach to model dew point temperature using meteorological variables

Sungwon Kim, Ozgur Kisi, Meysam Alizamir, 2020 .

RETRACTED ARTICLE: Prediction of economic growth by extreme learning approach based on science and technology transfer

Meysam Alizamir, Petra Karanikić, Igor Mladenović, 2016 .

Performance Evaluation of Machine Learning Algorithms for Seismic Retrofit Cost Estimation Using Structural Parameters

Meysam Alizamir, Naser Safaeian Hamzehkolaei, N. S. Hamzehkolaei, 2021 .

Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model

Bahram Gharabaghi, Salim Heddam, Meysam Alizamir, 2020, Artificial Intelligence Review.

Drought modelling by standard precipitation index (SPI) in a semi-arid climate using deep learning method: long short-term memory

Ozgur Kisi, Ahmed El-Shafie, Meysam Alizamir, 2021, Neural Comput. Appl..

Modeling groundwater fluctuations by three different evolutionary neural network techniques using hydroclimatic data

Ozgur Kisi, Meysam Alizamir, Mohammad Zounemat-Kermani, 2017, Natural Hazards.

A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions

Ozgur Kisi, Meysam Alizamir, Mohammad Zounemat-Kermani, 2020 .

Analyzing of economic growth based on electricity consumption from different sources

Srđan Jović, Meysam Alizamir, Goran Maksimović, 2017 .

Dissolved oxygen prediction using a new ensemble method

Ozgur Kisi, Meysam Alizamir, O. Kisi, 2020, Environmental Science and Pollution Research.

Retraction Note: Prediction of economic growth by extreme learning approach based on science and technology transfer

Meysam Alizamir, Petra Karanikić, Igor Mladenović, 2017, Quality & Quantity.

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

Ozgur Kisi, Meysam Alizamir, O. Kisi, 2018, Agricultural and Forest Meteorology.

Advanced machine learning model for better prediction accuracy of soil temperature at different depths

Ozgur Kisi, Ahmed El-Shafie, Cihan Mert, 2020, PloS one.

On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico

Zaher Mundher Yaseen, S. Adarsh, Meysam Alizamir, 2020, Journal of Hydrology.

Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data

Ozgur Kisi, Meysam Alizamir, Mohammad Zounemat-Kermani, 2018 .