搜索资源列表
手写识别系统
- 数字识别,识别手写体。 使用神经网络算法编写。 识别率一般,带训练功能-Number recognizing system,used to recogize the hand writing figures.It is writen by nero network and has low recognizing effects but we can exercise it.
bp网络数码识别
- 基于bp神经网络的数字识别程序,练习时候编写着玩的,大家在网上肯定没有见过-A number recognition procudure base on bg NN ,writed on practice , first apperd on web
基于进化BP网络的含噪声点阵数字的识别
- 基于进化BP网络的含噪声点阵数字识别的源程序,希望对大家有所启示。-BP network based on the evolution of the digital matrix containing noise identification of the source, we hope to reveal.
数字识别的bp实现源代码
- 关于bp的算法,利用bp算法实现数字图像的中的数字识别部分,包括归一化,量化等-bp of the algorithm, using bp algorithm for digital image of the identification number, including uniform, as quantified
数字识别系统源代码
- 基于神经网络的文字识别系统,VC++下调试通过-text recognition system based on neural network tested under VC++
脱机字符识别
- 脱机字符识别:手写数字识别之Fisher线性判别,手写数字识别之模板匹配法,数字识别之神经网络法,细化算法-Offline Character Recognition : handwritten figures identifiable Fisher Linear Discriminant, handwritten figures identifiable template matching method, digital identification neural network, thinn
联机字符识别
- 联机字符识别:联机手写数字识别,联机数字、英文字符及汉字识别-online character recognition : on-line handwritten numeral recognition, on-line statistics, English and Chinese character recognition
bp数字识别
- 基于bp人工智能的图像识别的技术,配套源代码-bp artificial intelligence-based image recognition technology and supporting source code
手写识别
- 利用VB开发的手写数字识别系统,实现由1-10的手写识别-using VB's handwriting recognition system figures, the 1-10 achieved by the handwriting recognition
手写数字识别系统
- 111我们的任务是要设计并训练出一个可行、高效的 BP 网络,以实现对 0到 9共 10 个加噪声后的数字和识别。-Our task is to design and train a viable and efficient BP networks to achieve 0-9 to a total of 10 increases the noise figure and identification.
基于LabVIEW的图像识别系统
- 基于LabVIEW的图像处理系统,基本教程,有很多实例:包括车牌识别,数字识别,图像处理等。适合相关从业人员交流学习!(Image processing system based on LabVIEW, basic tutorial, there are many examples: including license plate recognition, digital recognition, image processing, etc. Suitable for relevant prac
1111
- 基于PCA的手写数字识别源码,内附有说明文件,非常清晰!运行环境:matlab。(Handwritten digital character recognition based on PCA and BP network)
BP_mnist_UI-master
- 基于BP神经网络的手写数字识别,有完整代码(based image segmentation algorithm)
MATLAB数字表盘识别[GUI界面,界面丰富]
- 该课题为MATLAB数字仪表图像识别系统。可以识别万用表,压力表,电表,手表等的数字识别,包括小数点。带有一个GUI界面,流程为:灰度,二值化,定位,连通闭环,分割出数字区域,开闭运算,去除小面积,细化,精准定位,分割,识别。(This project is a digital instrument image recognition system based on MATLAB. Can identify multimeter, pressure gauge, electricity mete
深度学习CNN手写数字识别
- 利用CNN网络手写数字识别,注释清楚,损失函数用的是focalloss,标注明确,可以跑通,框架是pytorch
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。
53_digital_recognition
- FPGA数字识别,使用正点原子开发板进行开发,准确率非常高。(FPGA digital recognition, using the punctual atomic development board for development, the accuracy is very high.)
神经网络-手写数字识别
- 利用BP神经网络,对MNIST数据集中的5000张图片进行训练,实现手写数字识别,训练出来的结果准确率在90%。
Qt数字识别系统
- 基于Qt5平台的手写数字识别系统,应用opencv函数库
minist手写数字识别,搭建3层的卷积神经网络
- minist手写数字识别,基于Keras搭建3层的卷积神经网络,达到99%的识别准确率,且绘制相应的准确率和loss function曲线;