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Modeling of a Neuro Fuzzy System to Develop an Efficient Method to Get a Specific Color Paint from the Color Model Cyan, Magenta and Yellow (CMY) under Terms of Open Source

机译:在开放源代码下,对神经模糊系统进行建模以开发一种从青色,品红色和黄色(CMY)颜色模型中获取特定颜色涂料的有效方法

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In this paper we present the modeling of a neuro-fuzzy system to be applied in the mix of paint from color model cyan, magenta and yellow (CMY). We aim to research an efficient method to get a specific hue color that is located within color wheel. The modeling is focused in to generate a wide gamma of colors to paint crafts like Panama Hats only with mentioned colors. Variables of the system are given by the frame and shape of selection of color. We use a fuzzy controller to generate the magnitude of the CMY percentages and a neural network to interpret the components to dosage the assigned color. Finally proceed data are used to develop an embedded controller under open source, the resulting color from the system is verified using different samples to determine the accuracy with selected color.
机译:在本文中,我们介绍了一种神经模糊系统的建模方法,该系统可应用于青色,品红色和黄色(CMY)颜色模型的混合涂料中。我们旨在研究一种有效的方法来获得位于色轮内的特定色相颜色。建模的重点是生成广泛的伽玛颜色,以便仅用提到的颜色来绘画巴拿马帽之类的工艺品。系统的变量由颜色选择的框架和形状给出。我们使用模糊控制器生成CMY百分比的大小,并使用神经网络来解释成分以分配指定的颜色。最后,将处理的数据用于在开放源代码下开发嵌入式控制器,使用不同的样本验证来自系统的最终颜色,以确定所选颜色的准确性。

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