public class FeedForwardNNFile extends ModelAquamapsNN
| Modifier and Type | Field and Description |
|---|---|
protected String |
dbcolumns |
protected String[] |
dbcolumnsList |
protected static String |
LayersNeurons |
protected float |
learningThr |
protected static String |
LearningThreshold |
protected double |
maxfactor |
protected int |
maxiter |
protected static String |
MaxIterations |
protected double |
minfactor |
protected static String |
ModelName |
protected Neural_Network |
nn |
protected static String |
Reference |
protected String |
trainingColumn |
protected String |
trainingDataSet |
protected static String |
TrainingDataSet |
protected String |
trainingDataSetColumns |
protected static String |
TrainingDataSetColumns |
protected static String |
TrainingDataSetTargetColumn |
protected static String |
UserName |
absenceTable, connection, fileName, layersNeurons, presenceTable, status| Constructor and Description |
|---|
FeedForwardNNFile() |
| Modifier and Type | Method and Description |
|---|---|
static Image |
displaySignal(double[] signal,
float timeshift) |
String |
getDescription() |
List<StatisticalType> |
getInputParameters() |
String |
getName() |
StatisticalType |
getOutput() |
float |
getStatus() |
void |
init(AlgorithmConfiguration config,
Model previousModel) |
void |
train(AlgorithmConfiguration Input,
Model previousModel) |
getProperties, getResourceLoad, getResources, getVersion, postprocess, save, setVersion, stopprotected static String TrainingDataSet
protected String trainingDataSet
protected static String TrainingDataSetColumns
protected String trainingDataSetColumns
protected static String TrainingDataSetTargetColumn
protected String trainingColumn
protected String dbcolumns
protected String[] dbcolumnsList
protected static String LayersNeurons
protected static String Reference
protected static String LearningThreshold
protected static String MaxIterations
protected static String ModelName
protected static String UserName
protected float learningThr
protected int maxiter
protected Neural_Network nn
protected double maxfactor
protected double minfactor
public static Image displaySignal(double[] signal, float timeshift)
public String getName()
getName in interface ModelgetName in class ModelAquamapsNNpublic String getDescription()
getDescription in interface ModelgetDescription in class ModelAquamapsNNpublic StatisticalType getOutput()
getOutput in interface ModelgetOutput in class ModelAquamapsNNpublic float getStatus()
getStatus in interface ModelgetStatus in class ModelAquamapsNNpublic List<StatisticalType> getInputParameters()
getInputParameters in interface ModelgetInputParameters in class ModelAquamapsNNpublic void init(AlgorithmConfiguration config, Model previousModel)
init in interface Modelinit in class ModelAquamapsNNpublic void train(AlgorithmConfiguration Input, Model previousModel)
train in interface Modeltrain in class ModelAquamapsNNCopyright © 2015. All Rights Reserved.