Prediction of Cement Strength using Machine Learning Approach
The present work aims at developing a software application to automate the process of cement strength prediction using a suitable tool for artificial intelligence (AI). A software application is developed for prediction of cement strength of 2 days, 7 days and 28 days. A four-layer feedforward loop is used to train and predict the results. On backend scalable regression model is used which can be trained on own dataset. The validation of the proposed system carried out using real-life cement strength data for different cases.
Artificial intelligence (AI); cement strength prediction; regression model