Description: 基于BP神经网络的手写体数字识别程序，使用matlab开发-based Neural Network handwritten numeral recognition, the use of Matlab development Platform: |
Size: 104642 |
Author:陈超 |
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Description: 这是一个用matlab实现的RBF神经网络手写数字识别算法.此算法加入相应的手写数字图后可以运行.-This is a realization of using Matlab RBF neural network recognition algorithm handwritten figures. This algorithm adherence to the corresponding figures handwritten map after the run. Platform: |
Size: 2048 |
Author:陈华 |
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Description: 基于神经网络的手写数字识别的源代码，绝对能够正常编译并运行！-based on neural network handwritten numeral recognition of the source code is absolutely normal to compile and run! Platform: |
Size: 207872 |
Author:田巾 |
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Description: 基于BP神经网络的手写体数字识别程序，使用matlab开发-based Neural Network handwritten numeral recognition, the use of Matlab development Platform: |
Size: 104448 |
Author:陈超 |
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Description: 将若干张a到k的扫描的手写字符图像进行分割，输入神经网络进行识别-will to a certain Zhang k scanning images of handwritten character segmentation, neural network recognition Platform: |
Size: 27648 |
Author:rice |
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Description: Matlab手写文字识别源代码
这个Demo展示手写文字识别的各个步骤，包括图像的预处理、裁剪、大小转换、人工神经网络训练和识别等等。-Handwritten character recognition Matlab source code of this Demo display of handwritten character recognition of the various steps, including image preprocessing, cutting, size conversion, artificial neural network training and recognition and so on. Platform: |
Size: 102400 |
Author:lcp |
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Description: 详细说明了如何实现基于bp神经网络的手写数字识别。神经网络对于参数的设置是敏感的，尤其是隐藏层的单元个数，本文列出了一系列bp神经网络的应用的参数设置。结果表明，可以实现较好的模式识别功能-Detailed description of how to realize bp neural network-based handwritten numeral recognition. Neural network for parameter setting is sensitive, especially the number of hidden layer units, the paper sets out a series of bp neural network applications, parameters setting. The results show that pattern recognition can be achieved better functional Platform: |
Size: 1120256 |
Author:胡存英 |
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Description: 基于人工神经网络的手写英文字母、数字图像识别的源程序代码。-Based on Artificial Neural Network handwritten letters of the alphabet, the digital image to identify the source code. Platform: |
Size: 4096 |
Author:吕文华 |
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Description: MATLAB 神经网络用于数字识别源程序 手写数字识别，有图例，大家可以-MATLAB neural network to identify the source for digital handwritten numeral recognition, there are legends, we will look at Platform: |
Size: 150528 |
Author:zheng |
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Description: 针对10个手写数字的识别问题，设计了一个BP神经网络，使它能够正确识别10个数字。-Against the 10 handwritten numeral recognition problem, a BP neural network is designed so that it can correctly identify the 10 digits. Platform: |
Size: 122880 |
Author:zhangjin |
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Description: 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字，包括临时手写的数字，也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bayes classifier, a linear function of classification, non-linear function of classification, neural network classification) to identify any number of handwritten digits 0-9 and digital images, including the design of training samples library, you can choose a variety of classifier to identify the 10 Arabic numerals identify the 0-9, including temporary handwritten figures also include the number of pictures Platform: |
Size: 541696 |
Author:yao |
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Description: 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 can be related to the completion of a class of handwriting pattern recognition, recognition rate higher recognition rate when the font changed greatly reduced, they can re- Training has strong adaptability. Experiments confirmed that this method achieved a better handwritten character recognition, but there are also identified slow, and sometimes non-convergence of the training deficiencies Platform: |
Size: 105472 |
Author:caoliang |
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Description: 实现神经网络的bp识别手写数字。改程序师用MATLAB实现的，里面代码可以直接用-Bp neural network to achieve handwritten numeral recognition. Reform program to achieve the division to use MATLAB, which code can be directly used Platform: |
Size: 30720 |
Author:张文 |
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Description: 这是一个关于用数字识别训练一个手写数字识别的深度神经网络事例(This is a deep neural network example that uses digital recognition to train a handwritten numeral recognition) Platform: |
Size: 44728320 |
Author:璐璐hero
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Description: 基于BP神经网络手写数字识别，main函数是主函数，识别的成功率在86%左右。(Based on the BP Neural Network handwritten digital recognition, the main function is the main function, and the recognition success rate is about 86%.) Platform: |
Size: 2988032 |
Author:c_l |
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Description: 本课题为基于MATLAB的BP神经网络手写数字识别系统。带有GUI人机交互式界面。读入测试图片，通过截取某个数字，进行预处理，经过bp网络训练，得出识别的结果。可经过二次改造成识别中文汉字，英文字符等课题。(This project is based on Matlab bp neural network Handwritten digit recognition system. With GUI human-computer interactive interface. Read in the test picture, through the interception of a number, preprocessing, after BP network training, get the recognition results. It can be transformed to recognize Chinese characters and English characters.) Platform: |
Size: 542720 |
Author:www.wobishe.com |
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Description: 该课题为基于MATLAB bp神经网络的手写汉字识别系统。可以利用鼠标手写中文汉字进行训练，测试，可以识别任何字体，只需要到GUI界面面板更换即可。在GUI界面就可以随写随训练中文，不需要到后台手动更换文字训练，方便快捷上档次。(This project is a handwritten Chinese character recognition system based on Matlab bp neural network. You can use the mouse to write Chinese characters for training and testing. You can recognize any font. You just need to change it on the GUI interface panel. In the GUI interface, you can train Chinese as you write. You don't need to manually change the text training in the background. It is convenient and fast to upgrade the level.) Platform: |
Size: 332800 |
Author:可乐一生 |
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Search - neural network handwritten matlab