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OCR字符识别源代码，基于神经网络，用C#写的 -OCR character recognition source code, based on neural network, using the C# to write
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用Java实现的多层BP神经网络，用于颜色和字符识别-using Java multi-storey BP neural network, for the color and character recognition
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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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利用BP神经网络实现字符的自动识别，主要是识别数字，改进后也识别字母~-BP neural network using automatic character recognition is to identify the major figures, improved after identification letters ~
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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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用matlab做的车牌识别的,包括车牌定位位,二值化,滤波去噪,字符分割,识别,识别部分用的BP网
-License plate recognition using matlab, including the bit of license plate location, binarization, filtering, denoising, character segmentation, recognition, identify some with BP neural network
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This the error backpropagation algorithm based character recognition program developed in matlab. The program folder contains the training images of some english alphabets & numerals. & trains the neural network using train command in matlab. The neu
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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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Madaline Neural Network for character recognition. Designing a Madaline (Multiple Adaline) Neural Network to recognize 3 characters 0, C and F supplied in a binary format and represented using a 7x7 grid. The Neural Network should be trained and test
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字符识别 用卷积神经网络识别A-Z26个英文字母-Character recognition using convolution neural network A-Z26 letters
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这是利用神经网络来实现手写字符识别，起准确率已经达到99.26 ，可以继续调整参数达到更深层次的效果。需要自己搭建opencv环境。后期工作可以利用cuda对其更深层次的加速-This is achieved using a neural network handwritten character recognition, since the exact rate has reached 99.26 percent, can continue to adjust the parameters t
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车牌识别算法，采用BP神经网络的方法进行车牌字符识别，并能把汉字识别出来。-License plate recognition algorithm, using the BP neural network method for license plate character recognition, and to recognize Chinese characters.
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基于神经网络的字符识别。利用神经网络算法在c语言下实现车牌字符的智能识别。-Character recognition based on neural network. Using neural network algorithm to realize the intelligent recognition of license plate characters in C language.
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使用BP神经网络实现手写字符库MNIST的识别。(The recognition of handwritten character library MNIST is realized by using BP neural network.)
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用matlab实现车牌试别，包括定位、分割和字符识别，识别方法是神经网络。(Using MATLAB to realize license plate classification, including location, segmentation and character recognition. The recognition method is neural network.)
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