Application of artificial neural network to map the performance characteristics of boiler using different algorithms-Reference-Cited by-同舟云学术

Application of artificial neural network to map the performance characteristics of boiler using different algorithms

Published:2021-02-26 Issue:11 Volume:18 Page:1091-1103
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Ganesan P.¹,Rathna S.Jenifer²,Saidur R.³⁴

Affiliation:

1. Faculty of Mechanical Engineering, Amal Jyothi College of Engineering, Kanjirapally, Kerala, India

2. Department of Mechanical Engineering, Kalasalingam University, Krishnankoil, Tamilnadu, India

3. Research Center for Nano-Materials and Energy Technology (RCNMET), School of Engineering and Technology, Sunway University, Selangor, Darul Ehsan, Malaysia

4. Department of Engineering, Lancaster University, Lancaster, UK

Publisher

Informa UK Limited

Subject

Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2021.1891908

Reference41 articles.

1. Drilling rate prediction from petrophysical logs and mud logging data using an optimized multilayer perceptron neural network

2. Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field

3. Accurate prediction of the dew points of acidic combustion gases by using an artificial neural network model

4. New approach to dynamic modelling of vapour-compression liquid chillers: artificial neural networks

5. Development of artificial neural network models for predicting thermal comfort evaluation in urban parks in summer and winter

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