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An application of neural networks to emulation of aesthetic judgements

机译:神经网络在审美判断仿真中的应用

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Models of perception of abstract black and white images are proposed. The core part of the models are artificial neural networks (ANNs). The computer system is trained by providing samples of pictures and some pre-calculated characteristics. Once successfully trained, the system is able to classify new pictures displaying aesthetic preferences similar to those owned by its teachers.
机译:提出了抽象黑白图像的看法。模型的核心部分是人工神经网络(ANNS)。通过提供图片样本和一些预先计算的特征来训练计算机系统。一旦成功培训,系统就可以对显示类似于其教师所拥有的审美偏好的新图片进行分类。

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