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    Feature Set

    General

    • Regression, classification types of forecasting
    • Time-series forecasting
    • Exceptional ease of use
    • Constructive neural network algorithms
    • Informative graphs and detailed reports
    • Online help system
    • Free technical support
    • Multi-language interface
    • Sample financial, marketing, real estate and scientific problems included

    Analyze Your Data

    • Number of inputs and records are limited only by Excel limitations
    • Automatic data analysis and pre-processing
    • Automatic categorical values encoding
    • Automatic numeric values scaling
    • Missing values handling for numeric values (removal and 4 substitution options)
    • Missing values handling for categorical values (removal and 3 substitution options)
    • Outliers handling (customizable outlier coefficient)
    • Manual min/max values specification to anticipate bigger values in data for forecasting
    • Automatic random and sequential dataset partition onto training and test sets
    • Detailed Data Analysis and Preprocessing Report

    Create Neural Network

    • Fully automated neural network design - a special state-of-the-art constructive algorithm automatically creates and trains the most suitable neural network to solve your problem.
    • Neural networks for time-series forecasting
    • Unique "Next Target" mode: combination of regression and time-series forecasting
    • Automatic generation of versatile stopping condition to stop network training
    • Generalization loss control (10 preset levels)
    • Retain and restore best network
    • Manual network retrain
    • Retrain network to get better results

    For experienced users

    • Manual stopping conditions (target error level, error improvement, correct classification rate, number of iterations)
    • Real-time control on training parameters (MSE, MAE, CCR, # of iterations).
    • Training Error Graph (network error by iteration)
    • Training Error Table (network error and error improvement by iteration)
    • Cost/Loss matrix

    Perform Performance Analysis and Forecasting

    • Actual vs Forecasted Graph
    • Actual vs Forecasted Scatter Plot
    • Input Importance Chart
    • Error deviation graph
    • Actual vs Forecasted Table with absolute and relative errors
    • Confusion matrix
    • Error distribution table
    • R-squared and correlation calculation for a network
    • Tolerance levels to quickly estimate overall forecasting quality
    • Single-point forecasting and bulk forecasting
    • Quick forecasting with already trained network

    Enjoy User Interface Extras

    • two convenient methods of data selection: by range and by column
    • complete color customization for reports and graphs
    • neural network autosave
    • load/save neural network from/to Excel worksheet/workbook

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