搜索资源列表
fsvm_ica
- 模糊支持向量机与独立成分分析在人脸识别中的应用
fsvm_pca
- 模糊支持向量机与主成分分析在人脸识别中的应用
LearnSCp
- 一个机器学习算法软件包,包括神经网络,模糊逻辑,支持向量机,采用MATLAB平台实现,-a machine learning algorithm packages, including neural networks, fuzzy logic, support vector machine, MATLAB platform.
fsvm_ica
- 模糊支持向量机与独立成分分析在人脸识别中的应用-Fuzzy Support Vector Machine and Independent Component Analysis Applied on Face Recognition
fsvm_pca
- 模糊支持向量机与主成分分析在人脸识别中的应用-Fuzzy Support Vector Machine with Principal Component Analysis Applied on Face Recognition
Fsvm_Regression
- 该文研究了当训练点的输出为三角模糊数时!支持向量回归机的构建问题’ 首先将模糊回归问题转化为模糊分 类问题!并将求模糊最优分类超平面问题转化为求解带有模糊决策的机会约束规划问题’ 利用基于模糊模拟的遗传算法 求解带有模糊决策的机会约束规划!得到模糊最优分类超平面&模糊方程$!解模糊方程得到模糊回归函数’ 在此基础上! 得出模糊线性支持向量回归机&算法$’ 从而较好地解决了支持向量机中含有模糊信息的模糊回归问题’ 最后!给出显
mohulssvm
- 模糊支持向量机文档，将模糊理论与支持向量机相结合-FSVM documents, the fuzzy theory and support vector machines combine
fuzzylogicMATLAB
- 一个机器学习算法软件包，包括神经网络，模糊逻辑，支持向量机，采用MATLAB平台实现-A package of machine learning algorithms, including neural networks, fuzzy logic, support vector machine, using MATLAB platform
icafsvm
- 用于人脸识别的模糊独立成分分析+主成分分析，用模糊支持向量机进行的分类。-Fuzzy Face Recognition for independent component analysis+ principal component analysis, using fuzzy support vector machine classification.
pcafsvm
- 用于人脸识别的主成分分析和模糊支持向量机程序，通过测试，能完成工作-Face Recognition for the principal component analysis and fuzzy support vector machine procedures, to pass the test to complete the work
fsvm
- 模糊支持向量机向量机的国外文章，可得到更精确的仿真图形-Fuzzy Support Vector Machine SVM foreign article can be a more accurate simulation graphics
svm
- 支持向量机自动提取模糊规则，仿真结果验证了其可靠性-The use of support vector machine automatically extract fuzzy rules, simulation results verify the reliability of the method
fsvm
- 增加模糊隶属度实现图像数据有效分类的模糊支持向量机-support vector machine
bishechengxu
- 关于支持向量机分类、回归、模糊支持向量机的程序-On support vector machine classification, regression, fuzzy support vector machine procedures
FIG_SVM_sh
- 模糊——支持向量机，用于模糊理论与支持向量机结合，用于数据预测-Fuzzy- support vector machines for fuzzy theory and support vector machines for data predict
fls_svm(pso1)
- 模糊支持向量机算法研究，将模糊隶属度函数与最小二乘支持向量机相结合，来抑制异常点和噪声的影响-RESEARCH ON FUZZY SUPPORT VECTOR MACHINE
sinlssvm
- 利用模糊支持向量机对sinc函数进行仿真验证程序-Fuzzy support vector machine
SVM-Fuzzy-SYSTEM
- 基于支持向量机和模糊系统的机器学习方法及其应用研究 文档 写的很好-SVM Fuzzy SYSTEM
nonlinear(exp)_FLSSVM
- 基于模糊的最小二乘支持向量机，可用于分类，效果较好。-Fuzzy least squares support vector machine can be used for classification, the effect is better.
模糊粒计算支持向量机
- 可以实现复杂环境下的预测，模糊粒计算下的支持向量机(Support Vector Machine Based on Fuzzy Granular Computing and Prediction in Complex Environment)