Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
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
|
| 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 |
| https://www.w3.org/2000/01/rdf-schema#label |
Neuro-Fuzzy Systems
|
| 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 |
6
|