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ARTIFICIAL NEURAL NETWORKS WHERE THE WEIGHTING COEFFICIENTS ARE SET THROUGH PHOTOGRAPHIC OPTICS
ARTIFICIAL NEURAL NETWORKS WHERE THE WEIGHTING COEFFICIENTS ARE SET THROUGH PHOTOGRAPHIC OPTICS
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机译:通过摄影光学设置权重系数的人工神经网络
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the invention u043eu0442u043du043eu0441u0438u0442u0441u00a0 to automation and computer technology, and is u0434u043bu00a0 u043fu0440u0438u043cu0435u043du0435u0439u0438u00a0 in adaptive u0441u0435u0442u00a0u0445 u0440u0430u0441u043fu043eu0437u043du0430u0432u0430u043du0438u00a0 images, as well as in analog u0432u044bu0447u0438u0441 u043bu0438u0442u0435u043bu044cu043du044bu0445 cars, simulating the neural network. to increase the reliability of the u0438u0437u043eu0431u0440u0435u0442u0435u043du0438u00a0 u00a0u0432u043bu00a0u0435u0442u0441u00a0 u043cu043eu0434u0435u043bu0438u0440u043eu0432u0430u043du0438u00a0 through optical u0437u0430u0434u0430u043du0438u00a0 dynamic inverse u0441u0432u00a0u0437u0435u0439 between her u0440u043eu043fu043eu0434u043eu0431u043du044bu043cu0438 elements.u043fu043eu0441u0442u0430u0432u043bu0435u043du043du0430u00a0 goal u0440u0435u0430u043bu0438u0437u0443u0435u0442u0441u00a0 by u0432u044bu043fu043eu043bu043du0435u043du0438u00a0 block u0437u0430u0434u0430u043du0438u00a0 weights in the form of a plate of u0444u043eu0442u043eu043fu0440u043eu0432u043eu0434u00a0u0449u0435u0433u043e material on both sides of the internal u0438u043cu043du043e u043fu0435u0440u043fu0435u043du0434u0438u043au0443u043bu00a0u0440u043du044bu0445 u043du0430u043fu0440u0430u0432u043bu0435u043du0438u00a0u0445 located u0442u043eu043au043e - u043fu0440u043eu0432u043eu0434u00a0u0449u0438u0435 tires, transparent on one side.after u043eu0441u0432u0435u0449u0435u043du0438u00a0 plates through the photomask in u043du0435u0439u0440u043eu043fu043eu0434u043eu0431u043du043eu0439 u0437u0430u0434u0430u0435u0442u0441u00a0 network for distribution of power u0441u0432u00a0u0437u0435u0439 between u043du0435u0439u0440u043eu043fu043eu0434u043eu0431u043du044bu043cu0438 elements. 1 il.
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