KnowledgeScape University

Learn more about the concepts that drive KnolwedgeScape...

  • Adaptive Optimization
  • Artificial Intelligence

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  • Classic Set Theory

    Fuzzy Logic is a mathematical technique that greatly enhances the capability of the classical set theory. If you recall from simple set theory, problems were defined by grouping items into sets. For example, we may have six numerical members which can be categorized into two different sets for some reason. For the purpose of this example let’s assume the following arrangement:

  • Expert Control

    Expert Control is a subset of Process Control and the specialty of KnowledgeScape. It is the application of "expert" experience and knowledge to process control. At KnowledgeScape expert control is applied through our software KSX.

  • Fuzzy Logic Control

    Fuzzy Logic is a very powerful concept when applied to control systems. It allows control system designers to greatly reduce the number of rules necessary to deploy a desired control strategy. Additionally, it allows rules to be crafted in a very linguistic syntax. Finally, if properly designed, instabilities and hysteresis can be reduced or eliminated.

    Classical Set Theory

  • Genetic Algorithm Optimization

    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!

  • Neural Network Modeling

    In general neural networks are simply mathematical techniques designed to accomplish a variety of tasks. Neural networks can be configured in various arrangements to perform a range of tasks including pattern recognition, data mining, classification, and process modeling. The later is the primary interest in this context and although the types and topologies of neural networks (NN) vary greatly in the field, by far the most commonly used type of neural network, particularly in process control, is the feed-forward, back-propagation NN.