OLPARS
The First Comprehensive Data Visualization and Feature Analysis System for Pattern
Recognition and Classifier Design
OLPARS combines proven statistical methods with modern neural network paradigms in a
comprehensive tool for data visualization, pattern recognition, and classifier design. The graphical
user interface provides access to 25 years of experience in the most useful and effective algorithms
for revealing the underlying patterns in your data.
Applications include:
- Manufacturing Process Control
- Cardiogram Analysis
- Medical/Biotech. Applications
- Investment Decisions
- Character and Speech Recognition
- Seismic Pattern Recognition
- Nondestructive Testing
- Radar and Sonar Target Identification
- Emitter Identification
New Features in OLPARS 8.0:
- Import of Matlab Files
- Perceptron Networks
- Learning Vector Quantization
- Radial Basis Function Networks
- Quadratic Boundaries for Nearest Mean Classifiers
- Subroutine Source Code for Backprop Classifiers
The OLPARS user community includes many satisfied customers from industry, government, and
academia. For more information, contact:
PAR Government Systems
1010 Prospect St., Suite 200
La Jolla, CA 92037-4146
telephone: 619/551-9880
FAX: 619/551-0257
E-mail
olpars@partech.com
