We Tapies's work, "Gray Series Painting No. 3" can be seen in the impact of media on the artistic style.
我们从塔皮埃斯的作品《灰色系列画3号》中可以看到媒材对艺术风格的影响。
Oudiette's team took on that gray area, asking subjects to hit a series of coloured buttons when shown the corresponding colours on a TV monitor.
奥蒂特的研究小组想要解释这些模糊区域，他们要求研究对象们看到电视屏幕上出现的颜色后就去按相应颜色的按钮。
The series is also very bold colors, from white to gray cement, and even the blue cornflower .
该系列的色彩也非常大胆，从白色到水泥灰色，甚至还有矢车菊蓝色。
Of course we say grey series is not only refers to smoke gray, but includes red, yellow, blue, grey ash, ash.
当然我们说的灰色系列不是单指烟灰色，而是包括红灰、蓝灰、黄灰等在内的。
In this paper, the theory of gray system is adopted to study the time series prediction of the leaching rate of in-situ blasting and leaching ore.
采用灰色系统理论对原地爆破浸出率的时间序列预测问题进行了研究。
With his son's Timing this series, the south tower just go to sleep little gray dove awakened.
随着他这一连串儿的啼鸣，把南楼刚刚入睡的小灰鸽惊醒了。
The series of dynamic measuring errors of the predicting correction of real-time errors of gray model is also a random process and has these four basic characteristics.
灰色模型实时误差预报修正的动态测量误差序列同样为随机过程，也具有上述基本特性。
The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods.
将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测，为原始非平稳时间序列的预测应用拓展了空间。
This paper mainly studies TMS320C6000 processor based on digital media research, and the series system image gray-scale transform algorithm.
帮忙翻一段摘要本文主要研究基于数字媒体处理器TMS320C 6000系列系统的研发，并算法实现图像灰度变换。
The gray relation degree indicates that the series for adaptability of every mining method are surface mining, sublevel caving mining, block stop mining etc;
灰关联度计算表明，采矿方法适应性排序为：露天开采法、分段崩落法、阶段矿房法等；
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
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