Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows 2012 SHA1 Hash: 05e83d6f81fa40166bebea5161e0d4fc371cc5e4 Size: 4.48 MB File Format: exe
Rating: 2.217391304
out of 5
based on 23 user ratings
Publisher Website: External Link Downloads: 2058 License: Demo / Trial Version
EasyNN-plus is a demo software by Neural Planner Software and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows 2012.
You can download EasyNN-plus which is 4.48 MB in size and belongs to the software category Science CAD. EasyNN-plus was released on 2016-01-23 and last updated on our database on 2017-04-12 and is currently at version 20160101.
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EasyNN-plus Description
Data Processing:
Import Excel files
Import CSV and TXT files
Import bitmap image files
Import binary files
Extensive pre-processing facilities
Date and Time encoding
Integer, real, boolean, text or image modes
Many methods of handling missing values
Min/Max column values for scaling
Outlier handling
Random and manual data partitioning
Data subsets
Check for duplicate rows
Column value classification
Range extender and filler
Shuffle rows
Building the Neural Network:
Input and output selection
Multiple inputs and outputs
Check rows and columns are suitable to build a network
Automatic or manual production of hidden layers
Control Training and Validating:
Automatic or manual learning rate and momentum
Automatic decay of learning rate and momentum
Global or independent input and output validating rules
Scoring rules
Automatic or manual network reconfiguration while learning
Stop after fixed number of cycles
Node and Weight freezing
Variable validating periods
Fixed time stop
Variable speed learning for visual demonstrations
Many methods of early stopping
Validating correct or within range
Jitter and Noise
Random and Balanced presentation
Special Files:
Save any part of the network to TXT or CSV files
Save the data grid to TXT or CSV files
Save learning progress to TXT or CSV files
Save backup while learning
Auto Save while learning:
Variable save period
Save when error reduces
Save when validating results improve
Macros and Scripts:
Record and Play macros
Extensive script language
Add commands and scripts to macros
Run scripts from the command line or other applications
Single step macros
Run background scripts while hidden
Querying:
Query trained networks manually
Query networks from external files
See output values change when changing input values
Seek high or low outputs
Cycle seek though all inputs
Save results to TXT or CSV files
Query inputs can be extended beyond the training range
Extrapolated results can be produced
Forecasting:
Forecast future values with multiple networks
Allow forecasts to extend beyond training limits
Assess risk of forecasts
Restrict forecasts to upper or lower training limits
Associations and Clusters:
Automatically find associated inputs and outputs
Find inputs and outputs that form clusters
Save associations and clusters
Build networks from clusters
Leave Some Out Validating:
Sequential leave out subsets selection
Random row selection validating
Shuffle before validating
Random leave out subsets selection
Multi-fold cross validating
Comprehensive report
Node Reduction and Weight Pruning:
Prune insignificant weights while learning
Reduce network to minimum size
Views:
Data grid
Network nodes and connections
Learning progress graph
Column values graph and trends
Actual and predicted outputs for training and validating examples
Training and validating examples errors
Input importance and relative importance
Input sensitivity and relative sensitivity
Input and output associations
Diagnostic array
General information
Where to buy?
Last updated price and discount information 7 years agoupdate now