搜索资源列表
SVM
- 这是一个支持向量机的matlab源代码，可以进行对数据的预测。-This is a support vector machine matlab source code, you can forecast data.
shangzhengzhishu-svm
- 用支持向量机的方式通过历史数据来预测上证指数的走势-Historical data to forecast the Shanghai index trend with support vector machine
svm-load-forecast
- 本文介绍了支持向量机进行电力负荷时间序列的预测-This article describes a support vector machine to power load time series prediction
LSSVMlabv1_8_R2006a_R2009a
- 采用支持向量机对数据进行非线性分类，预测。-predicting and classifying by svm
matlab
- 燃煤结渣预测，使用支持向量机与模拟退火算法进行优化参数-Slagging Prediction in coal boilers
code
- matlab程序：高斯核回带用法的支持向量机，对样本经行训练得到预测模型-matlab program: the Gaussian kernel back with the use of support vector machine prediction model of the samples by the line training
ZCXLJ
- 支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Support vector machines and BP neural network can be used for non-linear regression f
wind-speed-prediction
- 基于支持向量机的风速预测模型研究，即SVM,是一篇非常有用的论文-Wind speed prediction model based on support vector machine SVM, is a very useful paper
svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
KPCA_SVM
- 核主成分分析和支持向量机方法相结合，用于数据分类和预测。-Kernel principal component analysis and support vector machine method combined for data classification and prediction.
duobu
- 多项式核函数的支持向量机作为模型预测的预测模型,多非线性系统进行多步模型预测控制-Polynomial kernel function as support vector machine model to predict the forecast model, nonlinear systems, multi-step model predictive control
LSSVM
- 利用最小二乘支持向量机原理，创建了LSSVM预测模型-The principle of least squares support vector machine, created LSSVM prediction model
svc
- 支持向量机SVMmatlab程序源代码，能够实现对数据的预测和分析-Support the vector machine SVMmatlab source code, to achieve the prediction and analysis of the data
svmpredict
- 支持向量机源代码,svm预测,使用libsvm进行分类,优化libsvm的各种参数-svm predict
svmm
- 支持向量机用于负荷预测，java环境下源代码-Support vector machines for load forecasting, source code java environment
bishe
- 使用支持向量机模型(svm)对时间序列进行预测-Using support vector machine model (svm) for time series prediction
displacement
- 基于粒子群优化的最小二乘支持向量机算法，主要用于对数据进行拟合预测-Based on particle swarm optimization least squares support vector machine algorithm, mainly used for data fitting forecast
windspeedsvm1
- 利用支持向量机进行风速的预测，从而被风力发电所利用，挺高风电功率预测的可靠性-Using support vector machines for wind speed prediction, which was exploited by wind power, wind power prediction pricey reliability
PSO-LSSVM
- ：针对暖通空调(小，AC)系统，提出一种基于粒子群优化(Pso)算法和最小二乘支持向量机(LSSVM)的预测控 制方法。-: For HVAC (small, AC) system is proposed based on particle swarm optimization (Pso) algorithm and least squares support vector machine (LSSVM) predictive control methods.
SVM
- 支持向量机回归，可用于分析大量数据的回归预测-Support vector machine regression can be used to analyze large amounts of data regression