decision Software

EasyFit 4.0
Probability Data Analysis and Simulation: Fit more than 40 probability distributions to your data, select the best model, and apply the results to make business decisions. Reduce your analysis & simulation times by using EasyFit as a stand-alone application or with Microsoft Excel. Apply the advanced Excel integration to develop your custom solutions.

xlDEA 2.0
Data Envelopment Analysis (DEA) is a powerful method widely used in the evaluation of performance of Decision Making Units (DMUs). These can be points of sales, bank branches, dealers, franchisees etc. xlDEA provides this sophisticated analysis in MS Excel. It produces extensive results for the main DEA models used today, and automatically creates Excel charts and customizable Macromedia Shockwave Flash charts.

DTREG 3.0
DTREG is a powerful statistical analysis program that generates classification and regression decision trees that model data and can be used to predict values. Single-tree, TreeBoost and Decision tree Models can be created.

Sagata Regression Pro 1.0
Sagata Multiple Regression software offers the power of a professional regression package with the ease and comfort of a Microsoft Excel interface.Features include: qualitative data, interactive custom modeling, stepwise regression, cross-validation automodeling, robust regression, interactive 3D plot engine, data weighting, and more.

MLP-Map 1.0
Source code for fast training of multilayer perceptron for approximation. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuMap7.06. The training algorithm can be modified to be substantially better than BP. For winzip password, go to :http://www-ee.uta.edu/eeweb/ip/Software/Software.htm

Numap7 7.06
Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source for applying trained networks. Extensive help, utilities for pre-processing and handling of training data are also provided. User-supplied txt-format training data files, containing rows of numbers, can be of any size.

Nuclass7 7.06
Freeware for fast training, validation, and application of neural and conventional classifiers including multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source provided for applying trained networks. Extensive help, utilities for pre-processing and handling of training data are also provided. User-supplied txt-format training data files, containing rows of numbers, can be of any size.

MLP-Class 1.0
Source code for fast training of multilayer perceptron classifier. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. The training algorithm can be modified to be substantially better than BP. For winzip password, go to :http://www-ee.uta.edu/eeweb/ip/Software/Software.htm

Nuclass7 7.06a
Freeware for fast training, validation, and application of neural and conventional classifiers including multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source provided for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.

Numap7 7.06a
Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.