搜索资源列表
ANNRecognizer
- C#编写的BP神经网络模型的手写识别器，可以识别数字-C# prepared by the BP neural network model of the handwriting recognizer, you can identify the numbers
nnpractice
- 神经网络手写数字识别。配合美国MNIST标准手写数字字体库-Handwritten digit recognition neural network. With the U.S. standard of handwritten digital font library MNIST
finish
- 可以进行包括bp神经网络以及svm支撑向量机和其他多种方式的模式识别进行数字识别，可以导入白底黑字的图片，也可进行手写识别。-Bp neural network can be included, and svm support vector machines and other pattern recognition in many ways digital identification, black and white images can be imported, but also the
20081022
- 基于人工神经网络的图像识别方法研究。基于神经网络的人脸检测研究。基于特征融合与神经网络的手写体数字识别技基于遗传神经网络的手写体数字识别研究术研究。基于遗传优化的神经网络的银行票据手写数字识别。一种改进的人工神经网络模型-Based on artificial neural network image recognition method. Neural Network Based Face Detection Research. Based on Feature Fusion and Neur
bpqianming
- 基于BP神经网络的手写签名识别方法。训练样本，识别签名-Based on BP Neural Network Recognition of handwritten signatures. Training samples to identify the signature
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
NeuralNetwork_BP
- 模式识别的一个基础程序,手写数字模式识别,提供给大家分享-A basic pattern recognition procedures, handwritten numeral recognition, available to everyone to share
Classfication
- 模式识别手写数字分类程序，对0到9十个数字分类。-Handwriting recognition digital classification procedures, 0-9 to 10 the number of categories.
pingyingshibei
- 26个字母A-Z的手写识别系统，可以学习采样，可区别大小写。-26 letters AZ of the handwriting recognition system that can learn from sampling, may be different from case.
Bsample
- 基于人工神经网络的手写字母识别，有点简陋但具有代表性-Based on artificial neural network recognition of handwritten letters, a bit shabby, but representative,
BPHandIdentifyRate
- 基于bp神经网络的手写识别系统 matlab仿真-Bp neural network-based handwriting recognition system simulation matlab
src
- 基于bp神经网络的java英文手写识别系统-Bp neural network, java-based handwriting recognition system
svm手写数字识别
- Python语言实现的SVM手写数字识别(SVM handwritten numeral recognition based on Python language)
手写数字识别
- 贝叶斯，神经网络等不同算法下的手写数字识别比较并建立了GUI界面可视化(Bias, neural network and other algorithms under the handwritten numeral recognition, comparison and establishment of the GUI interface visualization)
数字识别
- python的keras调用theano创建cnn识别minist手写数字(use keras of python to create cnn to recognize digit wrote by hand)
神经网络mnist
- 利用神经网络对手写识别系统进行分类，正确率高达92%。(Using neural network to classify handwritten recognition system, the correct rate is as high as 92%.)
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
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)
BP手写数字识别
- bp实现手写数字识别，识别率一般在97%以上，其中有添加噪声和不添加噪声的情况。(Recognition of Handwritten Numbers Based on BP)
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