In the research, based on BP neural network theory, a printer calibration model is provided according to sorting experiment data by hue Angle range.

在研究中，利用BP神经网络理论，提出并建立了按色相角范围对实验数据分类的打印机标定模型。

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Both of these artists continued the study of light, painting in a range of colors to achieve one strong hue.

这些艺术家都继续在不同的颜色光的研究，绘画，实现一个强大的色调。

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Controls the granularity for hue, saturation, and value noise. The range is 0 to 1. The default is 0.5. (for each non-zero Freq value, additional calculations may slow down rendering.)

控制色调，饱和，和值杂色颗粒性。范围是0到1。缺省的是0.5。(每个非零的频率值，附加的计算可能渲染过的减速。)

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