搜索资源列表
LMSE
- 关于LMSE算法的详细文档，希望对学习LMS 均衡接收机的同学有帮助：）-LMSE algorithm on the detailed documentation, and I hope to learn a balanced receiver LMS students help :)
LMSE-HoKashyap
- 最小平方误差(LMSE)算法实现，可训练的确定性分类器的迭代算法。用于对训练一个向量，使得向量与给定矩阵的乘积的结果向量足够小。-least square error (LMSE) algorithm can be trained classifier uncertainty iterative algorithm. For a pair of training vectors, making vector and matrix giv
pattern_recognition
- 模式识别中的几个常用算法，包括ISODATA算法、K－均值算法、感知器算法、LMSE最小误差、贝耶斯分类。-pattern_recognition have some usual algorithm,including ISODATA algorithm,K-means algorithm,apperceive algorithm ,
2LMSE最小均方误差算法
- 模式识别中关于 LMSE最小均方误差算法 一中算法-pattern recognition on the wan minimum mean square error algorithm an algorithm
PerceptionApproches
- 感知器和其他聚类算法，如lmse。另外还包含了更多的比如c均知法，各种简单的非监督据类程序，有利于直接使用-Perceptron and other clustering algorithms, such as lmse. It also includes more like c all know, a variety of simple non-supervisory category According to procedures,
LMSE
- 关于LMSE算法的详细文档，希望对学习LMS 均衡接收机的同学有帮助：）-LMSE algorithm on the detailed documentation, and I hope to learn a balanced receiver LMS students help :)
LMSEcode
- c语言写的LMSE代码，希望对做LMSE的人有些许帮助：）-c LMSE written language code, and I hope to do the LMSE is some help :)
LMSE-HoKashyap
- 最小平方误差(LMSE)算法实现，可训练的确定性分类器的迭代算法。用于对训练一个向量，使得向量与给定矩阵的乘积的结果向量足够小。-least square error (LMSE) algorithm can be trained classifier uncertainty iterative algorithm. For a pair of training vectors, making vector and matrix giv
Classify
- VC实现的手写体识别程序。实现手写数字给出不同的分类器识别结果，可心采用模板匹配分类器（最邻近模板匹配法）识别， Bayes分类器识别（使用二值数据的Bayes方法,最小错误概率的Bayes方法，最小风险的Bayes方法)，线性函数分类法识别（Fisher算法，奖惩算法，增量校正算法，LMSE算法的识别），非线性分类法（势函数法）识别，神经网络分类法识别（包括神经网络训练，神经网络建立后输出权值，测试与比较，神经网络识别）。 运
FenLeiSuanFa
- 关于分算的智能算法演示，包括样品训练、模板匹配算法，二值Bayes分类，概率Bayes分类，最小风险Bayes分类，Fisher算法，奖惩算法，增量校正算法，LMSE算法，势函数算法，神经网络算法（包括训练，比较及识别）等。-Count on the sub-intelligent algorithm demonstration, including sample training, template matching algorith
LMS_Equalizer_simulate_matlab
- LMSE qualizer simulate
patternrecognition
- 文件中包含多种模式识别常用的算法，如：ISODATA、 K均值、 感知器、 LMSE最小误差、 贝叶斯，希望对大家能有所帮助-File contains a variety of commonly used pattern recognition algorithms, such as: ISODATA, K-means, perceptron, LMSE the smallest error, Bayesian, in the hop
Lmse
- 用来判断样本是否线性可分的 -ll
lmse
- The LMSE package contains two subroutines. LMSE computes the minimum mean square error (MSE) possible if one image is allowed to be linearly scaled in intensity. LMSEDIFF computes the difference image after the target im
lmse
- lmse计算,最小均方误差计算，用搜索法找出两幅图像见最小均方误差-lmse caculation
LMSE
- 用LMSE方法验证两类的可分性，介绍了LMSE算法-LMSE method validation can be divided into two categories , the LMSE algorithm
LMSE
- LMSE算法实现判断线性可分性和求分界向量-LMSE algorithm for linear separability judgment and seek demarcation vector
LMSE
- LMSE模式识别算法，基于Matlab,附仿真示例结果-LMSE pattern recognition algorithms, Matlab, simulation attached sample results
58059913LMSE
- LMSE/模式识别/最小平方误差算法程序(LMSEleast mean square error, LMSE,Ho-Kashyap)
模式识别代码
- 基于matlab的Iris、乳腺癌数据集的模式识别分类算法，含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码，用于聚类效果良好，是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implemen