粒子群算法支持向量机的相关内容

阿里云文档 2023-12-18

机器学习线性支持向量机算法组件的配置及示例

支持向量机SVM（Support Vector Machine）是基于统计学习理论的一种机器学习方法，通过寻求结构风险最小化，提高学习机泛化能力，从而实现经验风险和置信范围最小化。本文介绍线性支持向量机算法组件的配置方法及使用示例。

文章 2023-04-30 来自：开发者社区

MATLAB实现PSO-SVM多输入单输出回归预测（粒子群算法优化支持向量机）

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文章 2022-12-13 来自：开发者社区

【SVM时序预测】基于粒子群算法优化支持向量机PSO-SVM实现期贷时序数据预测附matlab代码

✅作者简介：热爱科研的Matlab仿真开发者，修心和技术同步精进，matlab项目合作可私信。 🍎个人主页：Matlab科研工作室🍊个人信条：格物致知。更多Matlab仿真内容点击👇智能优化算法神经网络预测雷达通信无线传感器信号处理图像处理路径规划元胞自动机无人...

文章 2022-11-08 来自：开发者社区

【回归预测-lssvm】基于粒子群算法优化最小二乘支持向量机lssvm实现数据回归预测附matlab代码

文章 2022-10-21 来自：开发者社区

【预测模型-SVM预测】基于粒子群算法结合支持向量机SVM实现Covid-19风险预测附matlab代码

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