Citaat:
Oorspronkelijk geplaatst door Micele
Citaat:
http://www.economist.com/news/scienc...light-response
UCL is not the only institution interested in better autopilots. Andrew Anderson of Airbus, a big European maker of jets, says his firm is investigating neural networks, too. But such systems are unlikely to be flying passenger jets just yet. One of the downsides of having a computer train itself is that the result is a black box. Neural networks learn by modifying the strength of the connections between their simulated neurons. The exact strengths they end up with are not programmed by engineers, and it may not be clear to outside observers what function a specific neuron is serving. That means that ANNs cannot yet be validated by aviation authorities, says Peter Ladkin, a safety expert at Bielefeld University in Germany.
Instead, the new autopilot will probably find its first uses in drones. The system’s versatility has already impressed delegates at the 2016 International Conference on Unmanned Aircraft Systems in Virginia, where Mr Baomar presented a paper. The system’s ability to keep control in challenging weather might see it used in scientific investigations of things like hurricanes and tornadoes, says Dr Ladkin—some of the most challenging flying there is.
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Mooi geformuleerd:
Artificiële Neurale Netwerken (ANNs) leren door de sterkte van de connecties tussen hun gesimuleerde neuronen te modifiëren.
Maar hoe zou dat in de praktijk gebeuren, zou je je kunnen afvragen.
Uit dat artikel, UCL [= University College London, waar DeepMind tot stand kwam] gebruikt tien ANNs om tot een betere autopiloot te komen:
To train the autopilot, its ten ANNs observe humans using a flight simulator. As the plane is flown — taking off, cruising, landing and coping with severe weather and aircraft faults that can strike at any point — the networks teach themselves how each specific element of powered flight relates to all the others. When the system is given a simulated aircraft of its own, it will thus know how to alter the plane’s controls to keep it flying as straight and level as possible, come what may.
De ANNs zijn zelflerend, dwz ze leren uit zichzelf, automatisch, zonder menselijke supervisie. Dit sluit aan bij het concept dat in het engels 'deep learning' genoemd wordt.