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Optimal Data Analyses 2.0 
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Optimal Data Analyses uses a powerfull algorithm based on Artificial Intelligence techniques that may be used for solving data analysis problems such as symbolic regression and classification. The purpose of symbolic regression is to find a function (mathematical expression) that satisfies a set of fitness cases (data). The purpose of classification is to find a function that separates a set of data. Optimal Data Analyses employes different errors for achiving the optimal solution: Mean Absolute Error, Mean Square Error, Root Mean Square Error and R-Square. The obtained results are displayed in various formats: graphical format, text format or mathematical formula in 4 programming languages (C, Pascal, Java and Visual Basic).
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Version:
2.0
Release Date:
02/21/2005
Size:
2441 KB
Platform:
Win95,Win98,WinME,WinNT 4.x,Windows2000,WinXP,Windows2003
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Program type:
Commercial
Cost: $200
Online order: purchase
Review: Click here
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