WHAT DOES IT DO?
Psychonet is a tool for analyzing data. Simply put, it finds
patterns based on previous history that has been stored in the network through a process known as training. Once a Psychonet neural network has been trained it can quickly compute answers or predictions given a
new set of current conditions.
Potential Uses
- Stock market trends
- Lottery data trends
- Math problem analysis
- Empirical data analysis
Requirements
- 366 MHz machine (or better) is recommended
- Any operating system that supports
Java 1.2 or better
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Whats new
Performance Boost
- 50% performance gain on INITIAL training. Aids in setting up the neural networks by giving performance boost to initial training.
- 7% Overall performance gain in training across the board.
Look and Feel Improvements
- Split Pane on main panel added for future enhancements
- Tree display of data sample sets
- Tree display of data processing sets
- Clearer verbiage on info panels
- Aqua interface set as standard (OS X only)
- Tool Tips on training
New Functionality
- Spread sheet interface option for importing raw data
- New file extension used to avoid potential conflicts with Microsoft® .net files.
General Maintenance Updates
- Platform dependent issues concerning fitness function corrected.
- Platform dependent issues concerning auto saves corrected.
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