Applications of artificial neural networks for thermal analysis of heat exchangers – A review

By M. Mohanraj, S. Jayaraj, C. Muraleedharan. 2015

298 citations recorded by the source corpus.

Subfields: Building and Construction, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/4813194a90073763ae7a153fb1dede7080794c4c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stephen Adams
2. Jingyi Sun
3. Peter A. Beling
4. Abhimanyu Roy
5. L. Alonzi
6. R. Mahoney
7. A. Ozbayoglu

Citations in the corpus

• Deep learning detecting fraud in credit card transactions (2018, background): “Important ANN parameters that affect the quality of the output are the number of neurons in the input, hidden and output layers, activation function, loss function and learning rate [31].”