首页 人工智能 机器学习     /    【人工智能】工程测量领域中常见沉降预测算法的C#实现,包含双曲线、指数曲线、泊松曲线、Asaoka、灰度模型、BP神经网络、遗传算法等算法

【人工智能】工程测量领域中常见沉降预测算法的C#实现,包含双曲线、指数曲线、泊松曲线、Asaoka、灰度模型、BP神经网络、遗传算法等算法

上传者: yh523 | 上传时间:2021/9/3 18:13:53 | 文件大小:4.19MB | 文件类型:RAR
【人工智能】工程测量领域中常见沉降预测算法的C#实现,包含双曲线、指数曲线、泊松曲线、Asaoka、灰度模型、BP神经网络、遗传算法等算法
实现了工程测量中各种常见的沉降预测算法,包括直线拟合法、二次多项式拟合法、三次多项式拟合法、双曲线法、对数曲线法、抛物线法、指数曲线法、泊松曲线法、星野法、Asaoka法、灰度模型GM(1,1)法、灰度模型Verhulst法、BP神经网络法、遗传算法。
各种算法的具体实现可以参考https://blog.csdn.net/yh523/article/details/122944048。
在VisualStudio2015中采用C#编程语言实现,使用.NetFramework4.0。
附件资源包含可以编译运转的源代码,以及可以直接运转的exe示例程序。

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