This study aims at applying a machine learning-based model to establish the relationshipbetween different input variables 28-day compressive strength of normal and High-PerformanceConcrete (HPC). An Artificial Neural Network (ANN) was trained, validated, tested using acomprehensive database consisted 361 records gathered from previously circulated source. Variousmodels with learning algorithms ...

in this study it has been initiated to find out the credit strength and financial performance of cement industries in bangladesh through investigating the financial report for the period from 2007 to 2011. financial ratios are employed to measure the liquidity (working capital to total assets), profitability (retained earnings to total assets), efficiency (earnings before interest and taxes to ...