搜索资源列表
BP-MATLAB.rar
- 一个基于BP神经网络的matlab程序可以实现对几种字体0-9的数字识别这个文件训练网络的压缩包,Based on BP neural network matlab program can achieve several fonts on the figure 0-9 to identify the document training network packet compression
digitrecognizesystembasedbp
- 给出了基于神经网络的手写体数字的识别程序，并对BP神经网络进行了一些改进-Are given based on neural network Handwritten digit identification procedures, and BP neural networks have been some improvements
BPIdentifyNum
- BP神经网络三层感知器数字识别系统 可以识别0-9这个十个数字-BP neural network to identify the number of three-sensor system to identify the dozens of figures 0-9
bp
- MATLAB 神经网络用于数字识别源程序 手写数字识别-MATLAB neural network for digital identification of the source handwritten numeral recognition
bp
- 基于神经网络的手写数字识别技术研究 论文详解-Neural network-based Handwritten Digit Recognition Technology
recognitionprogram
- BP神经网络数字字符识别程序,可以识别各种手写字，识别率还不是很好-BP neural network digital character recognition program that can identify a variety of handwritten word recognition rate is not very good
bp-recognition
- 采用BP神经网络对手写体数字进行识别。识别相当方便有效快捷-Using BP neural network to recognize handwritten digits. Very easy to identify effective and efficient
bp
- BP神经网络的手写数字识别 识别数字为0~-BP neural network recognition of handwritten numeral recognition numbers from 0 to 99
BP 0-9识别
- 本程序由matlab编写，以BP神经网络进行0~9十个数字的识别。(This procedure written by MATLAB, BP neural network for 0~9 ten digital identification)
BP神经网络手写数字识别
- 使用bp神经网络算法识别手写阿拉伯数字图像，三层的误差反馈神经网络，可输出准确率，数据集为60000条数据，每条数据是一张28*28的图片(The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can output the accuracy rate. The data
基于BP神经网络的手写数字识别
- 这是一份基于BP神经网络的手写数字识别文件，包含了源代码、最优权重向量、以及带标记的训练集。代码中给出了详细的注释，对于理解神经网络的原理有很好的帮助。
BP神经网络数字识别（matlab2014a）
- 利用BP神经网络识别易拉罐底字符识别，运行前注意阅读算法说明和代码中相对路径的设置。(The BP neural network is used to identify the character recognition of the bottom of the can, and the pre operation attention to the reading algorithm and the setting of the relative path in the code.)
BPnetwork_code
- 手写体数字识别是模式识别中一个非常重要和活跃的研究领域，数字识别也不是一项孤立的技术，它所涉及的问题是模式识别的其他领域都无法回避的；应用上，作为一种信息处理手段，字符识别有广阔的应用背景和巨大的市场需求。因此，对数字识别的研究具有理论和应用的双重意义。(Handwritten numeral recognition is a very important and active research field in pattern recognition, digital recognition
BP神经网络解决手写数字识别问题-matlab源代码
- BP神经网络解决手写数字识别问题 matlab源代码(BP neural network solves the matlab source code for handwritten digit recognition problem)
matlab
- 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%.)
BP优化
- 基于bp模型的优化预测，基于bp神经网络的数字识别系统设计(Optimization prediction based on BP model)
BP神经网络实现手写数字识别matlab实现
- 基于BP神经网络对几种字体0-9的数字识别(MATLAB)(Digital Recognition of Several Fonts 0-9 Based on BP Neural Network (MATLAB))
MATLAB神经网络手写数字识别（GUI，论文）
- 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
MATLAB手写数字汉字识别[写字板，神经网络]
- 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 Ch
手写数字识别
- 简单的神经网路学习入门学习资料，使用bp神经网络进行手写数字识别。