Tensor network theory: Difference between revisions

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deleted reference---nothing to do with tensor network theory, just a regular deep CNN
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===Neural Networks and Artificial Intelligence===
Neural networks modeled after the activities of the central nervous system have allowed researchers to solve problems impossible to solve by other means. [[Artificial neural networks]] are now being applied in various applications to further research in other fields.
One notable non-biological application of the tensor network theory was the simulated automated landing of a damaged F-15 fighter jet on one wing using a "Transputer parallel computer neural network".<ref name=flightcontrol>{{cite journal|last=Pellionisz|first=Andras|title=Flight Control by Neural Nets: A Challenge to Government/Industry/Academia|journal=International Conference on Artificial Neural Networks|date=1995|accessdate=September 9, 2013}}</ref> The fighter jet's sensors fed information into the flight computer which in turn transformed that information into commands to control the plane's wing-flaps and ailerons to achieve a stable touchdown. This was synonymous to sensory inputs from the body being transformed into motor outputs by the cerebellum. The flight computer's calculations and behavior was modeled as a metric tensor taking the covariant sensor readings and transforming it into contravariant commands to control aircraft hardware.<ref name="flightcontrol"/> Other applications include teaching computers how to recognize handwriting, speech, and traffic signs by using [[deep learning]] which utilizes artificial neural networks.<ref name=deeplearning>{{cite web|last=Schmidhuber|first=Juergen|title=How bio-inspired deep learning keeps winning competitions|url=http://www.kurzweilai.net/how-bio-inspired-deep-learning-keeps-winning-competitions|work=Kurzweil Accelerating Intelligence|publisher=KirzweilAINetwork|accessdate=November 17, 2013}}</ref><ref name=trafficsigns>{{cite journal|last=Ciresan|first=D.|author2=U. Meier |author3=J. Masci |author4=J. Schmidhuber |title=Multi-Column Deep Neural Networks for Traffic Sign Classification|journal=Neural Networks|date=2012 |doi=10.1016/j.neunet.2012.02.023 |volume=32 |pages=333–338}}</ref>
 
==References==