Searching for "Learning Membership Functions." – sorted by Relevance.
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Inductive Learning of Membership Functions and Fuzzy Rules
- Inductive Learning of Membership Functions and Fuzzy Rules L a T E X documents for the Machine
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Learning Membership Functions In A Function-Based Object Recognition System
- Learning Membership Functions In A Function-Based Object Recognition System 1 Kevin Woods 2
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A Fuzzy Neural Network Learning Fuzzy Control Rules and Membership Functions by Fuzzy Error
- A Fuzzy Neural Network Learning Fuzzy Control Rules and Membership Functions by Fuzzy Error
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Fuzzy Rule-Based Networks for Control
- present a method for the learning of fuzzy logic membership functions and rules to approximate a numerical
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Learning a Fuzzy Rule Based Knowledge Representation
- fuzzy rule based knowledge representation. While learning the membership functions and rules
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SHORT TERM DAILY AVERAGE AND PEAK LOAD PREDICATIONS USING A HYBRID INTELLIGENT APPRACH
- and train the membership functions. The supervised learning procedure for FES uses the Kalman filter based
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Evolutionary Algorithms for Fuzzy Logic: A Brief Overview
- the membership functions, an even more challenging problem consists in the automatic learning of fuzzy control
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TACDSS: Adaptation Using a Hybrid Neuro-Fuzzy System Cong Tran, Ajith Abraham* and Lakhmi Jain
- combination of gradient descent (to learn the membership function parameters) and least squares estimate
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Learning Fuzzy Rule-Based Neural Networks for Function Approximation
- , and then setting up membership functions (shown in figure 4) for a fuzzy controller to be learned. The fuzzy
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Adaptation of Fuzzy Inference System Using Neural Learning
- choice of membership functions and they can be determined anew. Hence for learning the fuzzy rules
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