Minor updates
- Time Series Prediction Fitness function updated to have prediction size parameter.
- Symbolic Regression and Time Series Prediction fitness function updated to have absolute error
- Time Series sample updated (almost working application at this point)
- Some bug fixes and minor updates in Approximation sample
Time Series Prediction fitness updated to use window data in reverse order. So
var[0] = t[i-1]
var[1] = t[i-2]
var[2] = t[i-3]
...
Such order is more natural and makes it easer to analyze the result
- Time Series sample updated
- Minor update to Approximation sample
Extended settings dialog added. Application seems to be more or less finished.
Traveling Salesman Problem (TSP) demo application added (Genetic Algorithms)
Minor update (Generate Map Button should be disabled while searching for solution)
Application updated with correct titles and copyright notes added
Initial submit of AForge.Neuro library.
Documentation project files added. Some project files update.
Got rid of Error property in Symbolic Regression and Time Series Prediction fitness functions (don't want to expose private logic)
New data samples added
Data samples updated to be non-negative
Class comments updated
1. Regenerate() method added to Population to regenerate randomly Population
2. Issue 2 fixed - Shuffle property added to specify if population should be shuffled after selection
Data sample updated
Issue 1 fixed - only new members of the population are evaluated. Random generation of new chromosomes was removed from selection algorithms, but implemented in population class.
- Activation function updated
- XML comments updated in AForge and AForge.Neuro name spaces
- Initial CHM help file files added
XML comments updated