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ENT 412

Industrial Applications of Neural Networks and Fuzzy Logic


" So far as the laws of mathematics refer to reality, they are not certain. And so far as they are certain, they do not refer to reality."
                                                               - Albert Einstein

In the mid 1960's, the idea of white and black was challenged.  In 1964 professor Lotfi Zadeh coined the term "Fuzzy Logic."   Professor Zadeh stated that there was a "grey" area, and that not everything could be solved with only true and false declarations.  Fuzzy logic provides a way to handle things that are neither completely true or completely false, but more somewhere in between, somewhere in both.

A rule in the fuzzy system could look like this:

If x is fast and y is slow, then z might be zero.

aristotle.jpg (5110 bytes)

This idea of vagueness provides designers a way to look at a system and set up the control for that system.  Fuzzy logic has found its way into many modern control-systems.  Below is a short list of devices that use fuzzy logic:

-Microwaves
-Refrigerators
-Light Dimmers
-Motor Controllers
-Automobiles
-Aircraft
-Television Sets
-Stove Ovens
-OCR and OCV Systems
-Vacuum Cleaners
-Hair Dryers
-Cranes
-Electric Razors
-Camcorders
-Showers

This website was produced for a final project in ENT 412 and is for educational purposes only. All material on this website has been referenced on the bottom of each page. 

Created by:    

                       Michael Armocida
                       Kevin Griffin
                       Michael Scott
                       Jason Watkins