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- 针对实际项目采用了webservice进行搭建分布应用及多线程进行分布式并行开发应用。本项目主要针对图象学的图象处理对已存在的图象进行数字识别，本项目还利用BP神经网络（人工智能）技术进行识别应用，本项目采用OCR、体征、BP三种识别方法进行有效识别，识别效率达到98 -100 ，运行效率95ms/56ms/0.9ms。-Webservice used for the actual project to build distributed applications and multi-threa
MLPsjwl
- 用matlab实现的神经网络程序，识别样本图像A-Z，并用相应的数字0-26显示，验证识别能力和容错性。-Achieved using matlab neural network program, the the identification sample images AZ, and displayed with the corresponding figures 0-26, verify identification and fault tolerance.
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- 基于神经网络的数字识别系统Visual Basic版--Neural Network Based Digital Identification System version of Visual Basic
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- 神经网络编程_源代码，很不错的，值得一看，识别率高达98 -neural network programming source code, very good, worth a visit, the recognition rate is up to 98
人脸识别
- 基于bp神经网络的人脸识别系统，训练样本大概5000左右可以识别图片中是否有人脸(Face recognition system based on BP neural network)
基于卷积神经网络的手写汉字识别
- 基于卷积神经网络的手写汉字识别_matlab版本_可以识别509类手写汉字(Based on the _ handwritten Chinese characters recognition _matlab version convolutional neural network can identify 509 kinds of handwritten Chinese characters)
xlrd-1.1.0.tar
- 手写字体识别数据专用集，可以用来测试神经网络，深度血虚(Handwritten font recognition data set)
23214419BFA-code
- 实现图像识别，基于小波变换实现图像特征提取，然后神经网络进行训练(The image recognition is realized, the image feature extraction is realized based on wavelet transform, and then the neural network is trained.)
MLFR
- BP神经网络人脸识别MATLAB代码。运用MATLAB语言实现的简单人脸识别功能。(face recognition via matlab. Very easy.)