Application of artificial neural network for heat transfer in porous cone
Abstract
Heat transfer in porous medium is one of the classical areas of research that has been active for many decades. The heat transfer in porous medium is generally studied by using numerical methods such as finite element method; finite difference method etc. that solves coupled partial differential equations by converting them into simpler forms. The current work utilizes an alternate method known as artificial neural network that mimics the learning characteristics of neurons. The heat transfer in porous medium fixed in a cone is predicted using backpropagation neural network. The artificial neural network is able to predict this behavior quite accurately.
- Publication:
-
2nd International Conference on Condensed Matter and Applied Physics (ICC 2017)
- Pub Date:
- May 2018
- DOI:
- 10.1063/1.5033191
- Bibcode:
- 2018AIPC.1953n0016A