生物中学的增长模型,类似S曲线的拟合,阅读文章: https://www.jianshu.com/p/4c90f8f7c1c1 https://blog.csdn.net/Zengmeng1998/article/details/104208284 https://blog.csdn.net/z_ccsdn/article/details/104134358?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase 代码为logistic.py拟合结果如下图(横坐标代表1月20号开始累增):
构建一个简单的神经网络来拟合并预测未来疫情结果,代码为dpAsy.py https://blog.csdn.net/weixin_44000193/article/details/104091767#comments_12149374 拟合效果如下:
和单特征类似,增加特征拟合提高可信度
https://blog.csdn.net/weixin_44000193/article/details/104091767#comments_12149374