org.joone.samples.engine.validation
Class NeuralNetFactory
- java.lang.Object
-
- org.joone.samples.engine.validation.NeuralNetFactory
-
public class NeuralNetFactory extends java.lang.ObjectTitle: Effort Estimations Through Neural Networks
Description: Stage II - Joone Pilot
Copyright: Copyright (c) 2003
Company: Motorola
-
-
Constructor Summary
Constructors Constructor and Description NeuralNetFactory()
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method and Description static voidconnect(Layer ly1, Synapse syn, Layer ly2)Connects two Layers with a Synapse - Class Methodstatic MemoryInputSynapsecreateInput(java.lang.String name, double[][] inData, int firstRow, int firstCol, int lastCol)Creates a MemoryInputSynapse - Class Methodstatic LearningSwitchcreateSwitch(java.lang.String name, StreamInputSynapse IT, StreamInputSynapse IV)Creates a LearningSwitch and attach to it both the training and the validation input synapses - Class Method
-
-
-
Method Detail
-
connect
public static void connect(Layer ly1, Synapse syn, Layer ly2)
Connects two Layers with a Synapse - Class Method- Parameters:
ly1- Origin Layersyn- Synapsely2- Ending Layer
-
createSwitch
public static LearningSwitch createSwitch(java.lang.String name, StreamInputSynapse IT, StreamInputSynapse IV)
Creates a LearningSwitch and attach to it both the training and the validation input synapses - Class Method- Parameters:
name- The LearningSwitch NameIT- The Input Synapse (Training)IV- The Input Synapse (Test)- Returns:
- LearningSwitch
-
createInput
public static MemoryInputSynapse createInput(java.lang.String name, double[][] inData, int firstRow, int firstCol, int lastCol)
Creates a MemoryInputSynapse - Class Method- Parameters:
name- The Synapse NameinData- The Synapse Input DatafirstRow- The First RowfirstCol- The First ColumnlastCol- The Last Column- Returns:
- The MemoryInputSynapse
-
-
DataMelt 3.0 © DataMelt by jWork.ORG