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Feature Set

General

  • Wizard-like interface
  • Three interface modes: Basic, Standard and Expert
  • Automatic and manual data preprocessing
  • Automatic and manual selection of neural network architecture and training parameters
  • Detailed reporting
  • Online help system
  • Free technical support
  • Sample financial, marketing, real estate and scientific problems included

Analyze and Pre-process Your Data

  • Input dataset size is limited only by the hardware of the computer
  • Import popular ASCII file formats (CSV, TXT, PRN) with automatic recognition of delimiter and column headers
  • Import Excel files
  • Automatic Date/Time values encoding
  • Automatic categorical values encoding
  • Automatic numeric values scaling
  • Missing values handling (removal and 4 substitution options)
  • Outliers handling (customizable outlier coefficient)
  • Automatic recognition of data entry errors (wrong type values)
  • Automatic and manual column type identification (numeric, categorical, date, time, text)
  • Automatic random dataset division onto training, validation and test sets
  • Detailed Data Analysis Report

For experienced users

  • Manual dataset division onto training, validation and test sets (random or sequential)
  • Visual representation of data anomalies in Data Analysis Details window
  • Ability to accept/ignore rows and columns manually
  • Manual min/max values specification to anticipate bigger values in future data for forecasting
  • Detailed Preprocessing Report

Design Suitable Neural Network

  • Fully automated neural network design - automatically search for the best architecture and train the most suitable neural network to solve your problem
  • Three timesaving methods of neural network architecture search
  • Exhaustive architecture search with customizable parameters
  • Genetic algorithms architecture search with customizable parameters
  • Automatic training algorithm selection

For experienced users

  • Manual selection of training algorithms: Conjugate Gradient Descent, Levenberg-Marquardt, Quick-Propagation, Incremental and Batch Back-Propagation
  • Manual architecture specification (supported network type: multi-layer perceptron)
  • Automatic adjustment of learning rate and momentum during training for Back-Propagation algorithm

Control Network Training Process

  • Automatic generation of versatile stopping condition to stop network training
  • Non-technical presentation of neural network-related options in Standard mode
  • Real-time training error graph (absolute error by iteration)
  • Early-stopping on generalization loss (10 preset levels)
  • Retain and restore best network
  • Automatic network retrains and selection of the best network among retrains
  • Manual network retrain (4 options)

For experienced users

  • Manual stopping conditions (target error level, error improvement, correct classification rate, number of iterations)
  • Real-time control on training parameters: errors (MSE, MAE, CCR) on training and validation set, error improvement, training speed, # of iterations

Perform Performance Analysis and Forecasting

  • Estimated forecasting error
  • Actual vs Forecasted Table with absolute and relative errors
  • Single point forecast and bulk forecasting
  • Quick forecast with already trained network

Enjoy User Interface Extras

  • Detailed explanations on every step
  • Customizable reports (with preview and printing capabilities)
  • Reports export to HTML and XLS
  • Save/Load neural network