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EasyNN-plus

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Name: EasyNN-plus
Works on: windowsWindows 7 and above
Version: 20160101
Last Updated: 12 Apr 2017
Release: 23 Jan 2016
Category: Science CAD
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1820 downloads
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details

EasyNN-plus Details

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: 1820
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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features

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
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Where to buy?

Last updated price and discount information 6 years agoupdate now
$79.00Click the link to buy
screenshots

EasyNN-plus Screenshots

EasyNN-plus screenshot 1 EasyNN-plus screenshot 2 EasyNN-plus screenshot 3 EasyNN-plus screenshot 4 EasyNN-plus screenshot 5 EasyNN-plus screenshot 6 EasyNN-plus screenshot 7 EasyNN-plus screenshot 8 EasyNN-plus screenshot 9 EasyNN-plus screenshot 10 EasyNN-plus screenshot 11 EasyNN-plus screenshot 12 EasyNN-plus screenshot 13 EasyNN-plus screenshot 14 EasyNN-plus screenshot 15 EasyNN-plus screenshot 16 EasyNN-plus screenshot 17 EasyNN-plus screenshot 18 EasyNN-plus screenshot 19 EasyNN-plus screenshot 20 EasyNN-plus screenshot 21 EasyNN-plus screenshot 22 EasyNN-plus screenshot 23 EasyNN-plus screenshot 24
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