https://www.selleckchem.com/products/ds-6051b.html
Fourteen ANN models are designed which differ in backpropagation training algorithm, number of hidden layers, and neurons in each layer. The performance analysis and comparison of these models in terms of mean squared error (MSE) and coefficient of correlation (R) resulted in a Bayesian regularized ANN (BRANN) model for effective prediction of compressive strength of fly-ash and bottom-ash based geopolymer concrete.The main focus of Coronavirus disease 2019 (COVID-19) infection is pulmonary complications through virus-related neurologi
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