We use Regression for finding a function that can relate system inputs to its outputs. There are some ML-based algorithms for the regression task. The most popular is the Artificial Neural Network (ANN).
KNOW MORE ABOUT RAMPCO
What is RAMPCO
We offer data segmentation so that the right professionals in the company manages the right components. We clean up the raw data putting it in standardized formats, then aggregate, de-identify, pool, and mine for insights. This identifies the roles each data engineer and AI personnel should play, both in our team and also at the clients front at different points on the process chain.
Secondly, when the model is ready, we use an optimization algorithm such as the Metaheuristic Genetic Algorithm (GA) to search inside the model aiming to find appropriate input values to gain the best output values. The GA completes the internal search in conjunction with the programmed interface. This mechanism is applicable for optimizing every production line from steel /iron production to the petrochemical and automotive industry and chemical production industry. Our prototype in the Business Plan covers the Chemical Production Industry. The overall package algorithm is implemented in the form of an industrial software that uses a cloud service model: the suite containing ANN (feed-forward), Genetic Algorithm, and interface.
Today Most of High Tech Companies are Using AI and ML
Meet Our Team
Teamwork makes the dream work.