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BP net detect number.rar
- 基于bp神经网络的数字识别系统
BP-Identify
- 用VC开发的基于BP神经网络的数字识别系统-VC development of the neural network-based BP figures Recognition System
bp_number_recongnition
- 是关于利用BP神经网络来识别数字图像的,代码是需要经过编译才可以用。-BP is on the use of neural networks to identify the digital image, the code is compiled only need to be used.
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
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
bp
- 数字图像识别技术,使用C语言,对BP神经网络的实现-Digital image recognition technology, using C language implementation of the BP neural network
bp
- c语言写的改进BP神经网络,可以识别1至10数字,识别率为87 -c language to improve the BP neural network to identify the number of 1-10, the recognition rate of 87
shibie
- 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.
BP
- BP神经网络识别数字的VC++程序,很好用-BP neural network identification number of the VC++ program, useful
BP
- 基于BP神经网络的十六进制的数字识别系统-BP neural network based on the hexadecimal number identification system...
numberidentify
- 基于c语言的神经网络数字识别,详细介绍了bp网络在数字识别的应用 -C language based on neural network identification number, details of the bp network applications in the digital identification
BP_handwrittingRecognition
- 基于BP神经网络的数字图像识别 采用引进动量项和变步长法的改进型BP网络 train.m 训练 shibie.m 识别 actfun.m 激活函数 image.rar 图像库 -BP neural network-based digital image recognition and momentum term with the introduction of variable step method of improved BP network train.m trai
myBPMNIST
- 采用典型的BP算法实现了有导师学习下的神经网络,采用输入层、隐含层和输出层的三层结构,实现了BP算法。并用此算法实现了基于MNIST的数字识别,采用7000个样本做训练,自洽检验正确率达到了99.79%。
bp
- 利用bp神经网络实现对0到9的数字识别,其中训练需要时间较长,效果不错-Bp using neural networks to achieve the 0-9 numbers to identify which training needs longer time, good results
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_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)
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。
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%。