EasyNN-plus help
Getting Started
Data to Neural Network
Grid data Formats
Starting with Images
Inside EasyNN-plus
Samples
Projects
Simulating a Network with Excel
A Test Excel Simulation
Classifying Components from images
Predicting Soccer Results
Predicting Horse Race Winners
Shortcuts
Cloning Hidden Nodes
Learning Threads
Main Window's elements
EasyNN-plus main window
Grid
Network
Learning Progress
Predictions
Associations
Column Values
Example Errors
Input Importance
Sensitivity
Macros & Scripts
Toolbars
Main
Advanced
Extras
Tools
View & zoom
Reconfigure
Main Dialogs
Information
Import TXT CSV file
2nd Import Dialog
Input/Output Column Dialog
Example Row Type Dialog
Import XLS file
Import Binary file
Import Images
Edit Grid
New Network
Controls
Query
File Query
Trimming
Leave Some Out
Connections
AutoSave
Export special files
Classify Column
Extend Learning
Noise
Jog Weights
Forget Learning
Network Defaults
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Controls Defaults
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Edit Defaults
Date & Time
Add to Subset
Select Subset
Forecast
Input Validating Rules
Output Validating Rules
Outside Limits
Edit Grid Range
Change Input/Output Types
Change Example Types
Copy Input/Outputs
Copy Examples
Missing Data
Image
Fragment Image
Image Fragment
Set Function
Diagnostic Array
Auto Shuffle
Freezes
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Noise
Set Noise Level
. Noise can be added to the all the nodes activation while the neural network is learning.
On/Off switch
Switch the noise On or Off.
[Top]
Revert
If the average error increases the last noise added to each node activation is removed.
[Top]
OK
Click to accept the setting and close the dialog.
[Top]
Cancel
Click to reject the setting and close the dialog.
[Top]
Switch the noise On or Off.
Click to accept the setting and close the dialog.
Click to reject the setting and close the dialog.