... ]. Martinek et al. employed a big data technique to do a comparison study in optimizing the pin-in-paste technology using decision trees, artificial neural networks, and an adaptive neuro-fuzzy inference system [ 11 ]. The paper's machine learning (ML) framework aims to predict the solder joints' reliability...

... optimal strategy is adopted for which the computational fluid dynamics (CFD) results, artificial neural network (ANN), and MOGA are combined. The tubes elliptic ratio and Reynolds number are the design variables. The objective functions include Colburn factor (j) and friction factor (f). The CFD results...