International Neural Network Conference pp 1073-1078 | Cite as
Neural Networks Activities at Thomson-CSF
Chapter
Abstract
Thomson-CSF is strongly involved in the domain of neural networks [1,2,3,4]. The reason of this commitment is the potential capabilities of neural networks for discrimination and classification tasks, numeric-symbolic interfaces, signal and image processing, optimisation and data fusion. These capabilities are important for several equipments developed in the company (radar, sonar, telecommunication, IR/visible/radar image processors, simulators, video equipments), as well as for systems (air traffic control, weapon systems, telecommunication networks, battlefield management).
Keywords
Boolean Function Video Equipment Laboratoire Central Europhysics Letter Liquid Crystal Light Valve
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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