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本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recogni
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基于神经网络解耦控制的多电机同步系统
-Multi-motor Synchronous System Based on Neural Network Decoupling Control
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Artificial neural network multi layer program !
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提出了一种复杂背景下的多车牌图像分割和识别方法，首先采用统计和特征匹配相结合的方法进行背景提取，将可能存在车辆的区域提取出来；然后分别对可能的车辆区域进行局部边缘检测，并使用车牌的先验知识确定车牌的位置和单个字符分割，包括车牌倾斜时的字符分割；最后使用PCA和神经网络相结合的方法精确识别车牌。-Proposed a multi-plate image segmentation and recognition method under a complex background, the first
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通过BP神经网络来进行多输出的分类处理。处理之前进行滤波过程。-BP neural network to carry out multi output classification. Filtering process before processing.
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Vector Controlled Permanent Magnet Synchronous Motor Drive
Based on Neural Network and Multi Fuzzy Controllers
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基于人工神经网络的常用数字信号调制，多抽样率信号处理，基于多相结构的信道化接收机。- The commonly used digital signal modulation based on artificial neural network, Multirate signal processing, Channelized receiver based on multi-phase structure.
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