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
shouxieshouzirecognition
- 基于vc++的手写数字识别系统，包括模板匹配，Bayes分类，神经网络分类等算法-Vc++ based on the handwritten numeral recognition system, including template matching, Bayes classification, neural network classification algorithm
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
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
PatternRecognition
- 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字，包括临时手写的数字，也包括图片中的数字 -Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
bp_test
- 利用人工智能，神经网络中的BP网络实现的，可以有效识别手写体数字-Using artificial intelligence, neural network BP network, and can effectively identify the handwritten numeral
aaa
- BP神经网络手写识别源代码，可进行手写数字识别功能-BP neural network source code, handwriting recognition, handwritten numeral recognition can be
9783787MATLABSHOUXIESHIBIE
- 用matlab实现手写数字识别人工神经网络（ArtificialNeuralNetworks，简写为ANNs）也简称为神经网络（NNs）或称作连接模型（ConnectionistModel），它是一种模范动物神经网络行为特征，进行分布式并行信息处理的算法数学模型。-Matlab handwritten numeral recognition
Digit
- Java实现的手写数字识别工具，基于人工神经网络和机器学习原理。先读入一个文件进行训练，然后可以识别相同格式文件中的手写数字。目录下的PNT文件即为手写数字的数据文件。-Java implementation of the handwritten numeral recognition tool, based on artificial neural networks and machine learning principles. To read a file into training, t
te
- 采用神经网络方法进行手写数字识别，包括特征提取和识别- Using the neural network method for handwritten numeral recognition, including feature extraction and recognition
oworrddistinnf
- 脱机字符识别算法，包含手写数字识别之Fisher线性判别，手写数数字识别之模板匹配法，数字识别之神经网络法，细化算法 已通过测试。 -Off-line character recognition algorithm, contains handwritten numeral recognition of the Fisher linear discriminant, the template matching method for handwritten numerals recogniti
VCLASSC
- VC++实现多种方法的手写数字识别 可直接运行 如BP神经网络等 ，经测试可直接使用。 -Handwritten numeral recognition VC++ to achieve a variety of methods can be run directly such as BP neural network has been tested and can be used directly.
myBP
- 采用典型的BP算法实现了基于MNIST的手写数字识别采用输入层、隐含层和输出层的三层结构，实现了BP算法下的神经网络。用7000个样本进行自洽检验，正确率99.79 。-Using typical BP algorithm based on MNIST handwritten numeral recognition using input layer, hidden layer and output layer, three-layer structure, to achieve the neu
hrecgsysapp
- 用人工神经网络手写数字识别代码，有界面，很完美-Handwritten digital identification code
Handwritten-numeral-recognition
- 联机手写数字识别 数字通过模拟手写板输入，进行特征提取，发现新特征就通过模板保存起来，通过自带的模板进行神经网络训练，可以进行手写数字识别-On-line handwritten numeral recognition
USPS_readwrite
- 手写数字识别 神经网络BP算法 贝叶斯分类，欧式距离算法-USPS readwrite pattern recognition
shouxieshuzishibie
- 这是一个特别有用的手写数字识别方法，基于bp神经网络做法，识别率接近100 ，因为没有什么商业价值分享了-This is a particularly useful method of handwritten digit recognition based on bp neural network, the recognition rate of nearly 100
MyCnn
- 用VS2012实现手写数字识别的卷积神经网络算法，用mnist库作为输入-Using VS2012 to achieve the handwritten numeral recognition of the convolution neural network algorithm, using the MNIST library as an input
handwritten
- 一种基于RBF、BP神经网络手写数字识别的方法，里面包含GUI界面，方便理解，代码注释详细-One kind of RBF, BP neural network handwritten numeral recognition based method, which contains GUI interface, easy to understand, detailed code comments
hand-written-numeral-recognition
- 手写数字识别，连续手写数字的识别，BP神经网络-hand-written numeral recognition