KnowledgeScape® is unique in the world of real-time expert control systems because it is designed to control and optimize industrial processes using an integrated toolset of powerful artificial intelligent components. This integrated toolset contains a flexible expert control system that allows both crisp and fuzzy rules, on-line adaptive and competitive neural network models, and genetic algorithms for real-time optimization of the process. In addition to its use to optimize mineral processing plants it is also designed to embed intelligence into any piece of complex processing equipment. Read more...

While used very successfully in process control for some time in Japan [Fur94] fuzzy logic is
still relatively new in other parts of the world. This paper describes some of the workings of fuzzy logic and demonstrates the basics of a fuzzy SAG mill control system. Read more...

Expert control of grinding and flotation plants has been successfully used in the minerals industry since the 1970’s. Read more...

Expert control of grinding and flotation plants has been successfully used in the minerals industry since the 1970’s. The earliest of these systems were written in a hard-coded fashion in FORTRAN, BASIC or Pascal. Second generation systems were built using the first experimental expert system shells that were being developed in the artificial intelligence community. Read more...

Files available from KnowledgeScape can now be found at our new downloads page.

These files include a demonstration version of KSX our Adaptive Optimization and Process Control software, installation and reference manuals, as well as papers on Fuzzy Logic Control, Neural Network Modeling, and Genetic Algorithm Optimization.

As a process control or expert systems solution provider you solve problems. KSX is the ultimate problem solving tool for making you more money.

Solving problems is now easier... Read more...

Simply put, a genetic algorithm, or GA, is a search method. Given a model that accepts inputs and
responds with outputs, a GA can search the model space for the set of inputs the yields the maximum response value. It does this by repeatedly trying new input values and evaluating the corresponding output values but it does so in a very orderly fashion.

More soon!

KSX provides genetic algorithm optimizers to quickly and effectively search large model spaces for user defined optima. They are robust, easy to use and quickly find global maxima that traditional search methods can miss. Optimizers can be configured to automatically select the best of many competing models when searching for optimum setpoints for the plant.