搜索资源列表
simca
- 主成分分析的一种分类方法,用于模式识别。输入参数自己设定。(A classification method for principal component analysis. Used in pattern recognition.)
贝叶斯决策实现线性样本分类
- MATLAB语言编程,用贝叶斯决策算法实现线性样本分类,输入待分类样本,输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
语音识别最新
- 用matlab仿真神经网络语音识别系统,里面用的是数字0-9作为训练模板,神经网络匹配模式(use the matlab to simulate word recognition system with neural network)
模式识别与智能计算中的PSO
- Pattern Recognition and Intelligent Computing PSO Code in a book
simpleOCR
- OCR 数字识别 大写字母识别 自由手写体数字识别 离线 matlab平台 模式识别 识别数字0-9 识别大写字母(OCR digital recognition free handwritten off-line matlab platform to identify 0-9 numbers)
三步搜索法
- 本实验的目的是学习Parzen窗估计和k最近邻估计方法。在之前的模式识别研究中,我们假设概率密度函数的参数形式已知,即判别函数J(.)的参数是已知的。本节使用非参数化的方法来处理任意形式的概率分布而不必事先考虑概率密度的参数形式。在模式识别中有躲在令人感兴趣的非参数化方法,Parzen窗估计和k最近邻估计就是两种经典的估计法。(The purpose of this experiment is to study the Parzen window estimation and the k nea
libsvm-3.17
- 支持向量机,用于模式识别的特征分类,基于MATLAB的工具包(Support vector machines are used for feature classification of pattern recognition, based on MATLAB Toolkit)
SMFH-master
- 用于交叉模式哈希的监督矩阵因式分解,监督学习算法中的矩阵因式分解算法,文件附带MATLAB源程序(Supervised Matrix Factorization for Cross-Modality Hashing)
shiyan2
- 模式识别相关实验 Fisher线性判别准则(Pattern recognition)
GLCM
- 模式识别,纹理分析,灰度共生矩阵,统计图像的灰度共生矩阵进行纹理分析(Pattern recognition, texture analysis, gray level co-occurrence matrix, Texture analysis based on gray level co-occurrence matrix of statistical image)
prtools (1)
- matlab模式识别工具箱,可以用来做数据分析。(Matlab pattern recognition toolbox)
新建文件夹
- ICA(独立成分分解),可实现采集信号中源信号的分离,便于提取特征量,实现模式识别。同时由于可以将源信号分离开来,可实现信号的降噪,去掉基波、三次谐波、五次谐波等(ICA (independent component decomposition) can realize the separation of the source signals in the acquisition signal, and facilitate the extraction of the feature quant
实验1
- 最小错误率贝叶斯决策方法的MATLAB程序(Bayesian decision making method with minimum error rate)
RBF
- RBF网络能够逼近任意的非线性函数,可以处理系统内的难以解析的规律性,具有良好的泛化能力,并有很快的学习收敛速度,已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and
prtools3.1.7
- MATLAB中的模式识别相关工具箱与算法(Toolbox and algorithm for pattern recognition in MATLAB)
FIRSHER线性判别MATLAB实现
- firsher线性判别实现()
lapsvmp_v02
- lapsvm 方法,进行半监督学习,模式识别与数据挖掘,数据分类(lapsvm method,semi-supervised learning,label unlabel)
source code
- 模式识别与智能计算——Matlab技术实现 书本章节源代码(Pattern recognition and intelligent computing source code)
fuzzymath
- 模糊数学m文件合集,包含模糊聚类分析,模糊模式识别,模糊综合评判。(Fuzzy mathematics m file aggregation, including fuzzy clustering analysis, fuzzy pattern recognition, fuzzy comprehensive evaluation.)
H
- 自己编写的kmeans算法程序,是应用于模式识别的一种方法(The kmeans algorithm written by myself is a method applied to pattern recognition.)