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gptkbp:instanceOf
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gptkb:Computational_Intelligence_System
|
|
gptkbp:advantage
|
Adaptability
Interpretability
Generalization Ability
Robustness to Noise
|
|
gptkbp:appliesTo
|
Learning Algorithms
Fuzzy Rules
|
|
gptkbp:canBe
|
Unsupervised
Supervised
|
|
gptkbp:combines
|
gptkb:Fuzzy_Logic
gptkb:Artificial_Neural_Networks
|
|
gptkbp:developedBy
|
1990s
|
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gptkbp:enables
|
gptkb:Learning_from_Data
Approximate Reasoning
Handling Uncertainty
|
|
gptkbp:hasApplication
|
gptkb:robot
gptkb:Speech_Recognition
gptkb:Intelligent_Transportation_Systems
Image Processing
Industrial Automation
Medical Diagnosis
Fault Detection
Process Control
Financial Forecasting
|
|
gptkbp:hasComponent
|
gptkb:Inference_Engine
Defuzzification Module
Fuzzification Module
Rule Base
Neural Network Module
|
|
gptkbp:implementedIn
|
gptkb:Python
gptkb:C++
gptkb:MATLAB
|
|
gptkbp:learnsFrom
|
Training Data
|
|
gptkbp:optimizedFor
|
Membership Functions
Rule Parameters
|
|
gptkbp:relatedTo
|
gptkb:Adaptive_Neuro-Fuzzy_Inference_System
Hybrid Intelligent System
|
|
gptkbp:supports
|
Regression
Time Series Prediction
Classification
Function Approximation
Nonlinear System Modeling
|
|
gptkbp:usedIn
|
gptkb:Pattern_Recognition
Data Mining
Control Systems
Decision Making
|
|
gptkbp:bfsParent
|
gptkb:Fuzzy_Neural_Networks
|
|
gptkbp:bfsLayer
|
7
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Neuro-Fuzzy Systems
|