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Virtual Sensors

Raymond L. Kirby, Ph.D., P.E.

Artificial Intelligence, or AI, has found application is many of today’s technologies. It is important that technologists and engineers understand how this technology can be applied in their respective fields. Some of the applications if AI include:

  • construction project funding decision tools
  • pattern recognition
  • speech recognition
  • robotics
  • handwriting recognition
  • market forecasting
  • data compression in communication systems
  • maintenance scheduling
  • Integrated circuit chip design
  • animation
  • autopilots
  • document readers
  • process control
  • dynamic system modeling
  • Under the umbrella of Artificial Intelligence we find three fundamental categories. These are:

  • Fuzzy Logic
  • Artificial Neural Networks
  • Expert Systems
  • The Artificial Neural Network (ANN) is the basis for this course in Virtual Sensors and several related areas including and not limited to:

  • Advanced control systems
  • System modeling
  • Pattern recognition
  • Autonomous vehicles
  • Adaptive control

  • This course includes a multiple-choice quiz at the end, which is designed to enhance the understanding of the course materials.

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