C++ Neural Networks and Fuzzy Logic: Preface
Fuzzy Mean and Fuzzy Variance
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C neural networks and fuzzy logic
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Section II: Fuzzy Control Designing a Fuzzy Logic Controller Step One: Defining Inputs and Outputs for the FLC
Step Five: Defuzzify the Outputs Advantages and Disadvantages of Fuzzy Logic Controllers Summary Chapter 17—Further Applications
Fuzzy
Mean and Fuzzy Variance
Conditional Probability of a Fuzzy Event
Conditional
Fuzzy Mean and Fuzzy Variance
Linear Regression a la Possibilities
Fuzzy Numbers
Triangular
Fuzzy Number
Linear Possibility Regression Model
Section II:
Fuzzy Control
Designing a Fuzzy Logic Controller
Step One: Defining
Inputs and Outputs for the FLC
Step Two: Fuzzify the Inputs
Step Three: Set Up Fuzzy Membership Functions for the Output(s)
Step Four:
Create a Fuzzy Rule Base
Step Five: Defuzzify the Outputs
Advantages and Disadvantages
of Fuzzy Logic Controllers
Summary
Chapter 17—Further Applications
C++ Neural Networks and Fuzzy Logic:Preface
Preface
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