Advanced Machine Learning Design and Development for Intelligent Mining & Cement Manufacture
Machine learning techniques and deep learning algorithms have become critical for predicting parameters in many fields of science and engineering.
The client came to us for a custom machine learning solution to their existing calibration software that would better predict the elements of mineral processing.
With an in-house data science team, Cloud Interactive combined the machine learning model with vast industrial data for network training.
Through algorithms, we helped FLSmidth produce a more accurate analysis system that would replace its current standard multiple regression analysis model and platform.