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。
本软件ID:83956743

文件下载

资源详情

[{"title":"(74个子文件4.19MB)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","children":[{"title":"DataPrediction","children":[{"title":".vs","children":[{"title":"DataPrediction","children":[{"title":"v14","children":[{"title":".suo <span style='color:#111;'>93.00KB</span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"bin","children":[{"title":"Debug","children":[{"title":"Accord.xml <span style='color:#111;'>418.37KB</span>","children":null,"spread":false},{"title":"DataPrediction.exe <span style='color:#111;'>36.50KB</span>","children":null,"spread":false},{"title":"Accord.Math.Core.xml <span style='color:#111;'>4.48MB</span>","children":null,"spread":false},{"title":"DataPrediction.pdb <span style='color:#111;'>95.50KB</span>","children":null,"spread":false},{"title":"DataPrediction.vshost.exe.manifest <span style='color:#111;'>490B</span>","children":null,"spread":false},{"title":"Accord.Genetic.dll <span style='color:#111;'>36.00KB</span>","children":null,"spread":false},{"title":"Accord.MachineLearning.xml <span style='color:#111;'>1.10MB</span>","children":null,"spread":false},{"title":"Accord.Statistics.dll <span style='color:#111;'>876.00KB</span>","children":null,"spread":false},{"title":"Accord.Math.Core.dll <span style='color:#111;'>1.38MB</span>","children":null,"spread":false},{"title":"Accord.dll <span style='color:#111;'>128.00KB</span>","children":null,"spread":false},{"title":"Accord.Math.xml <span style='color:#111;'>5.57MB</span>","children":null,"spread":false},{"title":"MathNet.Numerics.dll <span style='color:#111;'>1.60MB</span>","children":null,"spread":false},{"title":"Accord.Genetic.xml <span style='color:#111;'>115.26KB</span>","children":null,"spread":false},{"title":"MathNet.Numerics.xml <span style='color:#111;'>3.57MB</span>","children":null,"spread":false},{"title":"Accord.Neuro.dll <span style='color:#111;'>64.00KB</span>","children":null,"spread":false},{"title":"Accord.Math.dll <span style='color:#111;'>2.11MB</span>","children":null,"spread":false},{"title":"Accord.Statistics.xml <span style='color:#111;'>3.51MB</span>","children":null,"spread":false},{"title":"Accord.Neuro.xml <span style='color:#111;'>187.65KB</span>","children":null,"spread":false},{"title":"Data.txt <span style='color:#111;'>898B</span>","children":null,"spread":false},{"title":"DataPrediction.vshost.exe <span style='color:#111;'>22.16KB</span>","children":null,"spread":false},{"title":"Accord.MachineLearning.dll <span style='color:#111;'>432.00KB</span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"Observation.cs <span style='color:#111;'>584B</span>","children":null,"spread":false},{"title":"DataPrediction.sln <span style='color:#111;'>994B</span>","children":null,"spread":false},{"title":"Program.cs <span style='color:#111;'>447B</span>","children":null,"spread":false},{"title":"obj","children":[{"title":"Debug","children":[{"title":"DataPrediction.csproj.GenerateResource.Cache <span style='color:#111;'>942B</span>","children":null,"spread":false},{"title":"DataPrediction.exe <span style='color:#111;'>36.50KB</span>","children":null,"spread":false},{"title":"DataPrediction.csprojResolveAssemblyReference.cache <span style='color:#111;'>43.99KB</span>","children":null,"spread":false},{"title":"DataPrediction.pdb <span style='color:#111;'>95.50KB</span>","children":null,"spread":false},{"title":".NETFramework,Version=v4.0.AssemblyAttributes.cs <span style='color:#111;'>208B</span>","children":null,"spread":false},{"title":"DataPrediction.MainForm.resources <span style='color:#111;'>180B</span>","children":null,"spread":false},{"title":"DesignTimeResolveAssemblyReferencesInput.cache <span style='color:#111;'>7.36KB</span>","children":null,"spread":false},{"title":"DesignTimeResolveAssemblyReferences.cache <span style='color:#111;'>1.59KB</span>","children":null,"spread":false},{"title":"TempPE","children":null,"spread":false},{"title":"DataPrediction.csproj.FileListAbsolute.txt <span style='color:#111;'>4.18KB</span>","children":null,"spread":false},{"title":"DataPrediction.csproj.CopyComplete <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"DataPrediction.csproj.CoreCompileInputs.cache <span style='color:#111;'>42B</span>","children":null,"spread":false},{"title":"DataPrediction.csprojAssemblyReference.cache <span style='color:#111;'>49.60KB</span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"PredictHelper.cs <span style='color:#111;'>3.31KB</span>","children":null,"spread":false},{"title":"MainForm.Designer.cs <span style='color:#111;'>19.53KB</span>","children":null,"spread":false},{"title":"DataPrediction.csproj <span style='color:#111;'>5.90KB</span>","children":null,"spread":false},{"title":"Data.txt <span style='color:#111;'>898B</span>","children":null,"spread":false},{"title":"MainForm.cs <span style='color:#111;'>18.23KB</span>","children":null,"spread":false},{"title":"Algorithms","children":[{"title":"Hyperbola.cs <span style='color:#111;'>2.29KB</span>","children":null,"spread":false},{"title":"QuadraticPolynomial.cs <span style='color:#111;'>1.98KB</span>","children":null,"spread":false},{"title":"PredictionInterface.cs <span style='color:#111;'>371B</span>","children":null,"spread":false},{"title":"LogarithmicCurve.cs <span style='color:#111;'>2.15KB</span>","children":null,"spread":false},{"title":"PoissonCurve.cs <span style='color:#111;'>3.51KB</span>","children":null,"spread":false},{"title":"ExponentialCurve.cs <span style='color:#111;'>3.51KB</span>","children":null,"spread":false},{"title":"ANN.cs <span style='color:#111;'>5.25KB</span>","children":null,"spread":false},{"title":"AsaokaMethod.cs <span style='color:#111;'>3.57KB</span>","children":null,"spread":false},{"title":"Parabola.cs <span style='color:#111;'>2.36KB</span>","children":null,"spread":false},{"title":"HoshinoMethod.cs <span style='color:#111;'>2.42KB</span>","children":null,"spread":false},{"title":"GrayModel11.cs <span style='color:#111;'>3.38KB</span>","children":null,"spread":false},{"title":"CubicPolynomial.cs <span style='color:#111;'>2.12KB</span>","children":null,"spread":false},{"title":"GrayModelVerhulst.cs <span style='color:#111;'>3.46KB</span>","children":null,"spread":false},{"title":"Linear.cs <span style='color:#111;'>1.85KB</span>","children":null,"spread":false}],"spread":false},{"title":"packages","children":[{"title":"Accord.Genetic.3.8.0","children":[{"title":"lib","children":[{"title":"net40","children":[{"title":"Accord.Genetic.dll <span style='color:#111;'>36.00KB</span>","children":null,"spread":false},{"title":"Accord.Genetic.xml <span style='color:#111;'>115.26KB</span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true},{"title":"Accord.Statistics.3.8.0","children":[{"title":"lib","children":[{"title":"net40","children":[{"title":"Accord.Statistics.dll <span style='color:#111;'>876.00KB</span>","children":null,"spread":false},{"title":"Accord.Statistics.xml <span style='color:#111;'>3.51MB</span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"Accord.MachineLearning.3.8.0","children":[{"title":"lib","children":[{"title":"net40","children":[{"title":"Accord.MachineLearning.xml <span style='color:#111;'>1.10MB</span>","children":null,"spread":false},{"title":"Accord.MachineLearning.dll <span style='color:#111;'>432.00KB</span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"MathNet.Numerics.4.15.0","children":[{"title":"lib","children":[{"title":"net40","children":[{"title":"MathNet.Numerics.dll <span style='color:#111;'>1.60MB</span>","children":null,"spread":false},{"title":"MathNet.Numerics.xml <span style='color:#111;'>3.57MB</span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"Accord.Neuro.3.8.0","children":[{"title":"lib","children":[{"title":"net40","children":[{"title":"Accord.Neuro.dll <span style='color:#111;'>64.00KB</span>","children":null,"spread":false},{"title":"Accord.Neuro.xml <span style='color:#111;'>187.65KB</span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"Accord.Math.3.8.0","children":[{"title":"lib","children":[{"title":"net40","children":[{"title":"Accord.Math.Core.xml <span style='color:#111;'>4.48MB</span>","children":null,"spread":false},{"title":"Accord.Math.Core.dll <span style='color:#111;'>1.38MB</span>","children":null,"spread":false},{"title":"Accord.Math.xml <span style='color:#111;'>5.57MB</span>","children":null,"spread":false},{"title":"Accord.Math.dll <span style='color:#111;'>2.11MB</span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"Accord.3.8.0","children":[{"title":"lib","children":[{"title":"net40","children":[{"title":"Accord.xml <span style='color:#111;'>418.37KB</span>","children":null,"spread":false},{"title":"Accord.dll <span style='color:#111;'>128.00KB</span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false}],"spread":true},{"title":"Properties","children":[{"title":"AssemblyInfo.cs <span style='color:#111;'>1.29KB</span>","children":null,"spread":false}],"spread":true},{"title":"MainForm.resx <span style='color:#111;'>5.68KB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明