Artificial neural networks (ANN) have been widely used for thermal analysis of heat
exchangers during the last two decades. In this paper, the applications of ANN for thermal …

Artificial Neural Networks (ANNs) have been applied to deal with flow and heat transfer
problems over the past two decades. In the present paper, recent work on the applications of …

Since neural networks have universal approximation capabilities, therefore it is possible to
postulate them as solutions for given differential equations that define unsupervised errors …

This work studies the application of artificial neural network (ANN) to predict the minimum
film boiling temperature (T min) for various substrate rods quenched in high-and low …

Currently, workers in nuclear power plants need to monitor plant data in real time. In the
event of an emergency, due to human subjectivity, the operator cannot make accurate …

Travel & Tourism competitiveness rankings are helpful when we wish to consider the issue
of how to enrich the global competitiveness of tourism destinations. However, even if a …

Artificial Neural Network (ANN) and Adaptive-Network-Based Fuzzy Inference System
(ANFIS) were used to predict the natural convection thermal and flow variables in a …

For convection research, one important topic is the maximum heat flux achieved on a boiling
surface, known as the critical heat flux (CHF). This phenomenon is characterized by the …

Abstract Accurate prediction of Critical Heat Flux (CHF) is essential for ensuring safety and
economic efficiency of water-cooled reactors and two-phase flow boiling heat transfer …

The critical heat flux (CHF) is a crucial thermo-hydraulic parameter or phenomenon in
boiling heat transfer in many industry applications. For a long narrow rectangular channel, a …