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DSPLIT
- 对手写数字进行分类并识别 应用模板匹配算法进行分类。 应用Bayes算法进行分类。 应用线性函数算法进行分类。 线性算法进行分类。 应用神经网络算法进行分类。-right handwritten figures for the identification and classification of application template matching algorithm for classification. Application of Bayesian class
recongnation
- 图像模式识别 模板匹配法 神经网络分类器 几何分类器 基于概率统计的贝叶斯分类器-image pattern recognition template matching neural network classifiers classification is based on geometric probability and statistics Bayesian classifier
hand
- matlab的手写体识别代码 主要有贝叶斯、bp神经网络等方法-The handwriting recognition matlab code are Bayesian, bp neural network method
VCimagerecognition
- 《精通VisualC++数字图像处理模式识别技术及工程实践》介绍了模式识别和人工智能中的一些基本理论，以及一些相关的模型，包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等，同时结合模式识别中的一些问题，比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容，从多种角度，介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition
shiyan_moshi
- 模式识别的 图像的贝叶斯分类 图像的贝叶斯分类 神经网络模式识别-Bayesian pattern recognition image classification image of the Bayesian classifier neural network pattern recognition
Bayesian
- Baysian network for perl
Contrast_Stretch
- 對比度延展，由書上修改而成對圖形的直方圖做延展，裡面有說明，可使用。-This is a very well-known Bayesian classifier, find a collection from the network, and there are instructions available.
classifier
- 多种分类器gui界面，包括支持向量机、贝叶斯分类器、感知机、神经网络等-Multiple classifier GUI interface, including support vector machines, Bayesian classifier, perceptron neural network
JavaBayes
- java 编写的关于利用贝叶斯网络 作为概率图模型的，采样推断-java， bayesian network, PGM
BEIYES
- Prediction of _ Lou Peng bearing network performance of Bayesian neural network based on IP
beiyeszhenduan
- Bayesian neural network intelligent diagnosis system based on _ Zhang Zonghui -Bayesian neural network intelligent diagnosis system based on _ Zhang Zonghui
Bayesian-network
- 输入文字或网址，即可翻译 基于贝叶斯网的IP网络故障定位算法的研究和实现_董海疆 Study on fault location algorithm of Bayesian network IP network and realize the _ based on Dong Haijiang -输入文字或网址，即可翻译 基于贝叶斯网的IP网络故障定位算法的研究和实现_董海疆 基于贝叶斯网的IP网络故障定位算法的研究和实现_董海疆 Study on fault
BPandBayeserandzjl
- 手写体数字识别的程序，用了三种方法，贝叶斯，最近邻和BP神经网络，用MATLAB编写的，算法简单易懂，结构清晰-Handwritten digital recognition procedures, using three methods, Bayesian, Nearest Neighbor and BP neural network, written in MATLAB, the algorithm is easy to understand, clear structure
0364
- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Bayesian parameter estimation principle mixed logit model, On neural network control.