KSX provides advanced modeling tools including feed-forward neural network models. The models can be configured quickly and easily. The user can specify the inputs, outputs, layers, training details etc. KSX allows an unlimited number of neural networks, and multiple neural networks may be configured to compete with one another, automatically selecting the best model for control.

In 2000 KnowledgeScape was granted several patents throughout the world for its Adaptive Object-Oriented Optimization Software System that is the core of the KnowledgeScape Adaptive Modeling and Real-time Expert Control System. KnowledgeScape has been used since 1997 throughout the world to control the largest and most sophisticated minerals processing plants in real-time, calculating hundreds of process set points on a second by second basis. Read more...

KSX can distribute its computational load over a local area network, or an internet virtual private network. This allows the user to configure as many neural networks and optimizers as desired and run them in parallel in real time and on-line. Each neural network and optimizer can be assigned to a client machine when it is started, or KSX can determine the client with the least CPU load and distribute the task to that machine.

KSX advanced process control software integrates fuzzy logic, neural networks, genetic algorithms, statistical process control techniques and client server architecture to provide an easy to use, on line, real time, global optimization solution to the process control industry. Read more...

KnowledgeScape, headquartered in Salt Lake City, Utah, is widely known as the pioneer in developing and implementing expert control systems within the global minerals industry. We have taken our expertise along with our award winning and patented KnowledgeScape Adaptive Modeling and Expert Control System and also applied it to other important processing industries such as the treatment of water and wastewater, chemicals, pulp and paper, foods, power and petroleum products. Read more...