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Application of neural networks on color error reductions in television receivers

机译:神经网络在减少电视接收机色彩误差中的应用

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摘要

The application of neural networks to color error reduction in television receivers was investigated. The best results were obtained with a backpropagation neural network using one hidden layer of seven processing elements. Approximately a 70% reduction in color errors was achieved. The color error reduction was displayed on a CIE chromaticity diagram and tested with a video graphics system. Color measurements were made with this system. Both the simulation chromaticity diagram and the video color test system verified the neural network results.
机译:研究了神经网络在减少电视接收机颜色误差方面的应用。使用反向传播神经网络使用七个处理元素的一个隐藏层可获得最佳结果。色彩误差减少了约70%。颜色误差的减少显示在CIE色度图上,并通过视频图形系统进行了测试。用该系统进行颜色测量。仿真色度图和视频色彩测试系统均验证了神经网络的结果。

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