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
pcafsvm.rar
- 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
icafsvm.rar
- 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.
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
基于模糊模型支持向量机的混沌时间序列预测
- 基于模糊模型支持向量机的混沌时间序列预测，很好的期刊
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
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
3
- FSVM在人眼状态识别中的应用,一种结合gabor滤波和模糊支持向量机进行人眼状态检测的方案-FSVM in the human eye pattern recognition application, a combination of gabor filtering and fuzzy support vector machine is the human eye state inspection programs to
dyl1
- 利用支持向量机对T-S型模糊系统建模的方法，结合BP算法对参数进行优化，从一定程度上解决模糊系统建模所存在的模型结构复杂、维数灾、泛化能力不强和实时性差等问题。-this paper analyzed the approach that applied support vector machines to create novel model in the T-S fuzzy system, combined with BP algorithm which could optimize it,
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
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.
模糊粒子源支持向量机代码
- 模糊粒子源支持向量机源代码，应用性还不错，大家可以试试
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)