Better than Human Flight Control Systems: Re-engineered neural networks are dramatically changing adaptive control of aircraft.

Link to Research Horizons article

Much like the human brain, artificial neural networks consist of collections of processing elements that are highly interconnected. Each collection transforms a set of inputs to a set of desired outputs. Artificial neural networks, already used for such applications as pattern recognition and process control, are being re-engineered by Georgia Institute of Technology scientists. The redesigned networks will perform a host of monitoring and adjustment functions in aircraft — what those in the field call "adaptive control."

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