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车牌识别系统,其中字符识别用的是神经网络方法-LPR system, character recognition using the neural network method
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采用MATLAB实现Hopfield神经网络算法，并用其来进行字符识别。实验包括单个噪声字符的识别和多个噪声字符的识别两部分。并从这两方面对实验数据进行了分析与对比。-Hopfield neural network implementation using MATLAB algorithm, and use it to carry out character recognition. Experiments included a single noise, character recogniti
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用MATLAB实现车牌识别，包括定位、分割和字符识别，识别方法是神经网络-License Plate Recognition Using MATLAB implementation, including positioning, segmentation and character recognition, neural network identification method is
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利用BP神经网络实现字母识别；由于是新手，大家指正；-Using BP neural network implementation letter recognition are because novice, everyone correction
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用VB写的字符识别程序，采用BP神经网络算法，对于脱离Matlab软件进行神经网络算法的编写是一个很好的例子。-Using VB to write the character recognition process, the use of BP neural network algorithm, for from the Matlab software for the preparation of neural network algorithm is a good example.
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用改进的神经bp网络可以用来做字符识别 车牌识别 以及通常的分类 我强力推荐-Bp using the improved neural network can be used to do character recognition license plate recognition, as well as the usual categories I strongly recommend
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用MATLAB实现的字符识别，基于神经网络的方法实现。-Implemented using MATLAB character recognition, neural network-based approach to achieve.
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文章和附件代码教你如何使用人工智能的神经网络开发一个简单的光学字符识别(OCR)应用程序，程序可以获得非常高质量的识别率和性能。-Creating Optical Character Recognition (OCR) applications using Neural Networks How the use of neural network can simplify coding of OCR applications.
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利用VC++实现的，基于神经网络的文字识别系统，包括矩阵类库源代码和数字识别系统源代码。-Using VC++ to achieve, based on neural network character recognition system, including the matrix class library source code and digital identification system source code.
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基于matlab的车牌识别软件，能够对车牌进行准确的定位与识别，可以运行。字符识别采用BP神经网络的方法。-Accurate positioning and recognition based on the Matlab license plate recognition software, the license plate, you can run. Character recognition using the method of BP neural network.
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采用bp神经网络的车牌字符识别方法研究。特征提取采用投影-变换系数法。-Bp neural network using license plate character recognition method. Feature extraction using projection- transform coefficient method.
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利用bp神经网络实现五个字符的识别。输入为5个5*5维的向量。输出为一个五维向量。-Five character recognition using BP neural network. Input is five 5* 5-dimensional vector. Output is a five-dimensional vector.
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利用Hopfield网络实现五个字符的识别。输入为五个5*5的向量-Five character recognition using Hopfield neural network. Its input is a five 5*5 vectors
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