Course Description

This course introduces the practical aspects of pattern recognition. Using WINS NDT’s Super ICEPak as a framework, the course covers the theory and applications of statistical pattern recognition and neural networks. This course is suitable for:

Scientists and Engineers involved in the design and application of signal and image interpretation systems and control systems

Basic Researchers in the engineering, physical, medical, education, environmental and military sciences who wish to apply advanced signal and image analysis and interpretation methods

Test Engineers and Technicians looking for faster and more effective ways to develop automated testing and control systems.

Course material covers sufficient theoretical background and necessary terminlogy for trainees with no background in pattern recognition as well.

Course Dates

March 22-23, 2010
September 9-10, 2010
December 20-21, 2010

This course is also offered by appointment. Please contact us about your dates of convenience.

Course Location

This course is offered at our facility as well as client sites.

Course Duration

Two days (16 hours)

Course Price

$800 per trainee for group sessions of five or more trainees and $3,000 for individualized company training for up to three persons.

Course Outline

1. Overview of Artificial Intelligence
2. Terminology
3. Knowledge-Based Systems
4. When and When Not to use AI
5. Supervised Learning
6. Unsupervised Learning
7. Pattern Recognition Methods
8. Statistical Pattern Classifiers
9. Neural Networks
10. Waveform Representation
11. Waveform Transformations
12. Feature Extraction
13. Feature Set Optimization
14. Image Representation
15. Classifier Design
16. On-line Classification
17. Multi-Channel Data Acquisition
18. System Hardware and Software Design
19. Studies Case

Waves in Solids, LLC, 2134 Sandy Dr., Ste. 14 State College, PA 16803 Phone: (814) 237 1031