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
Import Defaults
Controls Defaults
File Open Defaults
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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Network Defaults
Network Defaults
. The new network dialog can be preset to use defaults. The preset settings can be changed in the
New Network
dialog.
Growth rate
A network is produced when the cycles or seconds elapses until the optimum network is found.
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Hidden layers
The hidden layers are grown from the minimum to the maximum number of nodes.
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Clear
Check to clear all new network defaults.
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OK
Click to accept all settings and close the dialog.
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Cancel
Click to reject all settings and close the dialog.
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Click to accept all settings and close the dialog.
Click to reject all settings and close the dialog.