搜索资源列表
-
0下载：
Some simple statistical learning techniques, demonstrated with the R language. Including linear regression, logistic regression, neural network example, support vector machine, and random forest example usage and the corresponding libraries needed.
-
-
1下载：
支持向量机在线学习训练算法C++源码，可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
-
-
0下载：
支持向量机的非线性回归，得到非线性函数y=f(x1,x2,…,xn)的支持向量解析式-SVM nonlinear regression, nonlinear function y = f (x1, x2, ..., xn) analytical support vector
-
-
0下载：
matlab开发工具箱中的支持向量机，可以实现模式识别领域的数据的分类及回归，相控阵天线的方向图（切比雪夫加权）。- matlab development toolbox support vector machine, You can achieve data classification and regression pattern recognition, Phased array antenna pattern (Chebyshev weights).
-
-
0下载：
进行支持向量机的非线性回归分析。支持多元的非线性回归分析。-Nonlinear regression analysis of support vector machines. Supports multivariate nonlinear regression analysis.
-
-
1下载：
回归分析，该支持向量机算法可用于预测，电力负荷、风力发电预测等(Regression analysis, the support vector machine algorithm can be used to forecast the power load, wind power prediction)
-
-
0下载：
支持向量机中的支持向量回归函数对数据进行预测(Support Vector Regression Function in Support Vector Machine to Predict Data)
-
