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Pattern Recognition in Non Destructive Testing

Course Description

This course introduces the practical aspects of pattern recognition. Using TISEC'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 prior background knowledge in pattern recognition.

Course Dates

This course is offered by appointment. Please contact us through our "contact" page and/or by phone to set up training dates.

Course Location

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

Duration: Two days (16 hours).

Course Price: $900 each for group sessions of five or more attendees and $3,000 for individualized company training for up to three persons. We offer client site training as well. Additional instructor traveling costs may apply.

Brief Course Outline

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