WEB RESOURCES ON INTELLIGENT CONTROL
Intelligent systems can be used to
automate the decision making process. A successful system typically makes
more reliable and more consistent decisions at a lower cost than its human
counterparts. Applications of intelligent systems abound, from those in
science and engineering to business, e.g., discovery of consumer spending
patterns, insurance risk assessment, currency price prediction, and
fraud detection. Information in real-life is usually complex and unstructured,
even worse it is almost always incomplete, uncertain and susceptible to change.
Most research topics focus on building robust exception tolerant systems
that can model and manage information and decisions based on incomplete and
uncertain information. It encompasses such areas such as Artificial Neural Networks,
Fuzzy Systems, and Intelligent Control.
Please follow the links below to find out in more detail
the different branches.
ARTIFICIAL NEURAL NETWORKS
FUZZY LOGIC
INTELLIGENT CONTROL
Author: Derong Liu Established: May 19, 1999
E-Mail: dliu@ece.uic.edu Last Update: November 3, 1999