Radial Basis Function Network
GPTKB entity
Statements (54)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:Company
|
gptkbp:canLeadTo |
Dropout
Weight Decay |
gptkbp:hasArtStyle |
Hidden Layer
Output Layer Input_Layer |
gptkbp:hasFeature |
Weights
Spread Parameter |
gptkbp:hasFunction |
Radial_Basis_Function
|
gptkbp:hasRelatedPatent |
Medical Diagnosis
Natural Language Processing Robotics Speech Recognition Financial Forecasting |
https://www.w3.org/2000/01/rdf-schema#label |
Radial Basis Function Network
|
gptkbp:isCharacterizedBy |
Non-linearity
Local Approximation Radial_Symmetry |
gptkbp:isEvaluatedBy |
Cross-Validation
Mean Squared Error |
gptkbp:isLocatedIn |
MATLAB
Python R |
gptkbp:isPartOf |
gptkb:Convolutional_Neural_Network
gptkb:Feedforward_Neural_Network Artificial Intelligence Decision Trees Machine Learning Recurrent Neural Network Computational Intelligence Statistical Learning Support Vector Machine Data_Science |
gptkbp:isRelatedTo |
gptkb:Support_Vector_Machines
Kernel Methods |
gptkbp:isStudiedIn |
Overfitting
Underfitting |
gptkbp:isTrainedIn |
Supervised Learning
Unsupervised Learning |
gptkbp:isUsedFor |
gptkb:Genetic_Algorithms
Gradient Descent Multidimensional_Surface |
gptkbp:isUsedIn |
Classification
Image Recognition Pattern Recognition Regression Signal Processing Time Series Prediction Function Approximation Control_Systems |
gptkbp:isVisitedBy |
Broomhead_and_Lowe
|
gptkbp:takeoffDistance |
Euclidean_Distance
Manhattan_Distance |
gptkbp:wasAffecting |
1988
|