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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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用于手写体字符识别的BP神经网络算法,用C语言编写,需要用一定数据的进行训练,然后用三层网络进行识别,可以试一试.-for Handwritten Character Recognition BP neural network algorithm, using C language, need certain data for training, and then use the three-tier network identification, may try.
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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Hopfield 神经网络联想记忆的功能, 对有噪声干扰的字母进行识别-Using Hopfield neural network associative memory function, there is noise interference on the letters to identify
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matlab格式源代码。功能：HOPFIELD神经网络优化计算算法源码和应用于数字识别问题。-matlab source code format. Function: HOPFIELD neural network optimization algorithm applied to the digital source and identify the problem.
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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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Character Recognition using Neural Network
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采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and c
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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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Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time
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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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Extension Neural Networks by Wang for character recognition using the given features of any particular attribute of a genetic entity
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本文将BP神经网络应用于车牌的自动识别，在简述BP神经网络的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别，用MATLAB完成了对车牌照数字识别的模拟，最后得出实验结果，证明这种方法是高效-BP neural networks used in automatic license plate recognition, in brief, based on BP neural network, focused on the BP neural network method for vehic
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Character recognition using Neural Network
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用神经网络实现对单个字符的识别
用神经网络实现对单个字符的识别-Single character recognition using neural network
Single character recognition using neural network
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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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利用神经网络做的，数字字符识别，包括图片，很好用-By using neural network, digital character recognition, including pictures, very friendly
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Character recognition using neural network
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