Genetic Programming Bibliography entries for Shahaboddin Shamshirband
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Created by W.Langdon from
Por Lip Yee,
Yaser Nabavi Larimi,
Eiman Tamah Al-Shammari,
Chong Wen Tong,
Siew Cheng Lee,
Hwai Chyuan Ong,
Ram Gopal Raj,
Taher Baghaee Moghaddam,
Hamed Shahrokhi Shahraki,
Noorzaily Bin Mohamed Noor,
Mohamed Rehan Karim,
Juwel Chandra Mojumder,
Wen Tong Chong,
Othman Saleh Al Razgan,
U Johnson Alengaram,
Mohd Zamin Jumaat,
Miss Laiha Mat Kiah,
Jawed Akhtar Unar,
Azizah Abdul Manaf,
Torki A Altameem,
Siti Hafizah Abd Hamid,
Genetic Programming Articles by Shahaboddin Shamshirband
Juwel Chandra Mojumder and Hwai Chyuan Ong and Wen Tong Chong and Nima Izadyar and Shahaboddin Shamshirband.
The intelligent forecasting of the performances in PV/T collectors based on soft computing method.
Renewable and Sustainable Energy Reviews, 72:1366-1378, 2017.
Shahaboddin Shamshirband and Afram Keivani and Kasra Mohammadi and Malrey Lee and Siti Hafizah Abd Hamid and Dalibor Petkovic.
Assessing the proficiency of adaptive neuro-fuzzy system to estimate wind power density: Case study of Aligoodarz, Iran.
Renewable and Sustainable Energy Reviews, 59:429-435, 2016.
Shahin Sajjadi and Shahaboddin Shamshirband and Meysam Alizamir and Por Lip Yee and Zulkefli Mansor and Azizah Abdul Manaf and Torki A. Altameem and Ali Mostafaeipour.
Extreme learning machine for prediction of heat load in district heating systems.
Energy and Buildings, 122:222-227, 2016.
Vlastimir Nikolic and Shervin Motamedi and Shahaboddin Shamshirband and Dalibor Petkovic and Sudheer Ch and Mohammad Arif.
Extreme learning machine approach for sensorless wind speed estimation.
Mechatronics, 34:78-83, 2016.
System-Integrated Intelligence: New Challenges for Product and Production Engineering.
Sareh Naji and Afram Keivani and Shahaboddin Shamshirband and U. Johnson Alengaram and Mohd Zamin Jumaat and Zulkefli Mansor and Malrey Lee.
Estimating building energy consumption using extreme learning machine method.
Energy, 97:506-516, 2016.
Behnaz Nahvi and Jafar Habibi and Kasra Mohammadi and Shahaboddin Shamshirband and Othman Saleh Al Razgan.
Using self-adaptive evolutionary algorithm to improve the performance of an extreme learning machine for estimating soil temperature.
Computers and Electronics in Agriculture, 124:150-160, 2016.
Taher Baghaee Moghaddam and Mehrtash Soltani and Hamed Shahrokhi Shahraki and Shahaboddin Shamshirband and Noorzaily Bin Mohamed Noor and Mohamed Rehan Karim.
The use of SVM-FFA in estimating fatigue life of polyethylene terephthalate modified asphalt mixtures.
Measurement, 90:526-533, 2016.
Shahab Kariminia and Shahaboddin Shamshirband and Shervin Motamedi and Roslan Hashim and Chandrabhushan Roy.
A systematic extreme learning machine approach to analyze visitors' thermal comfort at a public urban space.
Renewable and Sustainable Energy Reviews, 58:751-760, 2016.
Roslan Hashim and Chandrabhushan Roy and Shervin Motamedi and Shahaboddin Shamshirband and Dalibor Petkovic and Milan Gocic and Siew Cheng Lee.
Selection of meteorological parameters affecting rainfall estimation using neuro-fuzzy computing methodology.
Atmospheric Research, 171:21-30, 2016.
Zarko Cojbasic and Dalibor Petkovic and Shahaboddin Shamshirband and Chong Wen Tong and Sudheer Ch and Predrag Jankovic and Nedeljko Ducic and Jelena Baralic.
Surface roughness prediction by extreme learning machine constructed with abrasive water jet.
Precision Engineering, 43:86-92, 2016.
Eiman Tamah Al-Shammari and Afram Keivani and Shahaboddin Shamshirband and Ali Mostafaeipour and Por Lip Yee and Dalibor Petkovic and Sudheer Ch.
Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm.
Energy, 95:266-273, 2016.
Mortaza Aghbashlo and Shahaboddin Shamshirband and Meisam Tabatabaei and Por Lip Yee and Yaser Nabavi Larimi.
The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste.
Energy, 94:443-456, 2016.
Mehrtash Soltani and Taher Baghaee Moghaddam and Mohamed Rehan Karim and Shahaboddin Shamshirband and Ch Sudheer.
Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm.
Measurement, 63:232-239, 2015.
Shahaboddin Shamshirband and Kasra Mohammadi and Por Lip Yee and Dalibor Petkovic and Ali Mostafaeipour.
A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation.
Renewable and Sustainable Energy Reviews, 52:1031-1042, 2015.
Milan Protic and Shahaboddin Shamshirband and Dalibor Petkovic and Almas Abbasi and Miss Laiha Mat Kiah and Jawed Akhtar Unar and Ljiljana Zivkovic and Miomir Raos.
Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm.
Energy, 87:343-351, 2015.
Lanre Olatomiwa and Saad Mekhilef and Shahaboddin Shamshirband and Kasra Mohammadi and Dalibor Petkovic and Ch Sudheer.
A support vector machine-firefly algorithm-based model for global solar radiation prediction.
Solar Energy, 115:632-644, 2015.
Kasra Mohammadi and Shahaboddin Shamshirband and Por Lip Yee and Dalibor Petkovic and Mazdak Zamani and Sudheer Ch.
Predicting the wind power density based upon extreme learning machine.
Energy, 86:232-239, 2015.
Marjan Mansourvar and Shahaboddin Shamshirband and Ram Gopal Raj and Roshan Gunalan and Iman Mazinani.
An Automated System for Skeletal Maturity Assessment by Extreme Learning Machines.
PLoS ONE, 10(9) 2015.
Ozgur Kisi and Jalal Shiri and Sepideh Karimi and Shahaboddin Shamshirband and Shervin Motamedi and Dalibor Petkovic and Roslan Hashim.
A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm.
Applied Mathematics and Computation, 270:731-743, 2015.
Nima Izadyar and Hossein Ghadamian and Hwai Chyuan Ong and Zeinab moghadam and Chong Wen Tong and Shahaboddin Shamshirband.
Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption.
Energy, 93, Part 2:1558-1567, 2015.
Nima Izadyar and Hwai Chyuan Ong and Shahaboddin Shamshirband and Hossein Ghadamian and Chong Wen Tong.
Intelligent forecasting of residential heating demand for the District Heating System based on the monthly overall natural gas consumption.
Energy and Buildings, 104:208-214, 2015.
Milan Gocic and Shervin Motamedi and Shahaboddin Shamshirband and Dalibor Petkovic and Sudheer Ch and Roslan Hashim and Muhammad Arif.
Soft computing approaches for forecasting reference evapotranspiration.
Computers and Electronics in Agriculture, 113:164-173, 2015.