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Products / Forecaster / Feature Set
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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
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