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Design and implementation of artificial intelligence system for 2-dimensional image recognition

机译:二维图像识别人工智能系统的设计与实现

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This paper aims at introducing an application of 2-dimensional image recognition using neural network method. So, an artificial intelligence system was designed to recognize images. Principal component analysis (PCA) was adopted to extract and select the features from images that are fast and the most used one in image recognition using artificial neural networks. The studied neural network with 2-dimensional image recognition system was according to the backpropagation principle.
机译:本文旨在介绍一种使用神经网络方法进行二维图像识别的应用。因此,设计了一个人工智能系统来识别图像。采用主成分分析(PCA)从图像中提取和选择特征,这些特征是使用人工神经网络进行图像识别时最快速和最常用的特征。根据反向传播原理,研究了带有二维图像识别系统的神经网络。

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