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Neural Networks

Neural Networks. Sarah Ezzell Engr. 315. What Are They?. Information processing system (non-algorithmic, non-digital) Inspired by the human brain Made of artificial neurons (neurodes) Crude approximation of biological neurons Connected by weights over which signals travel

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Neural Networks

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  1. Neural Networks Sarah Ezzell Engr. 315

  2. What Are They? • Information processing system (non-algorithmic, non-digital) • Inspired by the human brain • Made of artificial neurons (neurodes) • Crude approximation of biological neurons • Connected by weights over which signals travel • Arranged in layers

  3. Output Signals Output Layer Middle Layer Input Layer Neurode Connection Link Input Signals Neural Network Diagram

  4. Translation – Input Stimuli to Output Response • 3 steps • Neurode computes net weighted input received • Converts net input into an activation level • Converts activation level into output signal

  5. Learning Capability • Learns to solve problems, not just programmed • Learning achieved by modifying weights • Training methods • Supervised • Graded • Unsupervised

  6. Control System Applications • Aircraft • Manufacturing plant • Power plant

  7. Aircraft – Flight Control System • Neural network like a human, but better • Adapts like human, only quicker and more accurately • Back propagation vs. on line learning • Network integrated with current flight control systems • Removes “gain scheduling”

  8. Manufacturing Plant – Hot Dip Galvanized Steel Strip • Manually controlled coating thickness controls • Neural network control model • Developed by Siemens and Thyssen Stahl • Cost-effective, better quality product • On line learning • Eliminates need for hot measuring equipment

  9. Power Plant – Utility Boilers • Air pollutants from power plants • NeuSIGHT system • Used in coal-fired electric power plants • Provides real time closed-loop supervisory control • Improves operating efficiency & reduces emissions

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