Improve Industrial Process and ProductionWith Rampco Machine Learning Software
We develop a data-driven Machine Learning (ML) model that can use past actual production input parameters and their corresponding output parameters to estimate the system output based on its inputs.
INPUT EVALUATION MODEL
optimized input values
See Our Web Application, Based on
Machine Learning (ML)
We are Using AI and ML
The Artificial Neural Network’s (ANN) Structure
Our model is built based on real system behaviour. We use Artificial Neural Networks (ANN). ANNs are mimicked from the human brain’s structure and are capable of learning the system behaviour using the data they receive from them. They can discover hidden and intricate patterns lying in vast amounts of data.
Data-Driven Models & Machine Learning (ML)
We use ANN to build a data-driven model of the production process, which can estimate the relationship between system inputs and outputs. Subsequently, we use this model as the fitness function of the optimization problem, and we use the variable bounds as the inequality constraints. Then, we use a meta-heuristic like the GA to find the best values for the system inputs.
What We Offer
We offer data segmentation so that the right professionals in the company manages the right components. We will clean up the raw data putting it in standardized formats, then aggregate, de-identify, pool, and mine for insights. This will identify 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
Meet Our Team
Teamwork makes the dream work.
Spark Centre Head Office, Suite 300, 2 Simcoe Street South, Oshawa, L1H 8C1, Canada