C++ Neural Networks and Fuzzy Logic: Preface



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C neural networks and fuzzy logic

Fuzzy Control Systems

The most widespread use of fuzzy logic today is in fuzzy control applications. You can use fuzzy logic to

make your air conditioner cool your room. Or you can design a subway system to use fuzzy logic to control

the braking system for smooth and accurate stops. A control system is a closed−loop system that typically

controls a machine to achieve a particular desired response, given a number of environmental inputs. A fuzzy

control system is a closed−loop system that uses the process of fuzzification, as shown in the Federal Reserve

policy program example, to generate fuzzy inputs to an inference engine, which is a knowledge base of

actions to take. The inverse process, called defuzzification, is also used in a fuzzy control system to create

crisp, real values to apply to the machine or process under control. In Japan, fuzzy controllers have been used

to control many machines, including washing machines and camcorders.

Figure 3.3 shows a diagram of a fuzzy control system. The major parts of this closed−loop system are:

Figure 3.3

  Diagram of a fuzzy control system.




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