Surrogates.jl:科学机器学习(SciML)的替代模型和优化-源码

上传者: 42114041 | 上传时间: 2021-02-16 20:09:02 | 文件大小: 150KB | 文件类型: ZIP
代理人 替代模型是一种近似方法,它模仿计算上昂贵的模拟的行为。 用更多的数学术语:假设我们正在尝试优化函数f(p) ,但是f每次计算都非常昂贵。 可能是我们需要为每个点求解PDE或使用高级数值线性代数机制的情况,这通常很昂贵。 我们的想法是再开发一个替代模型g近似于f通过对从评估收集以前的数据训练f 。 代理模型的构建可以看作是一个三步过程: 样品选择 替代模型的构建 代理优化 当前所有可用的采样方法: 网格 制服 索博尔 拉丁超立方体 低差异 克罗内克 金的 随机的 当前所有可用的代理模型: 克里格 使用Stheno进行克里金法 径向基础 温德兰 线性的 二阶多项式 支持向量机(等待LIBSVM分辨率) 神经网络 随机森林 洛巴切斯基 反距离 多项式展开 保真度可变 专家混合(等待GaussianMixtures软件包在v1.5上工作) 地球 梯度增强克里格 当前所有可用的优

文件下载

资源详情

[{"title":"( 85 个子文件 150KB ) Surrogates.jl:科学机器学习(SciML)的替代模型和优化-源码","children":[{"title":"Surrogates.jl-master","children":[{"title":"Project.toml <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"docs","children":[{"title":"make.jl <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"Project.toml <span style='color:#111;'> 232B </span>","children":null,"spread":false},{"title":"src","children":[{"title":"rosenbrock.md <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"gek.md <span style='color:#111;'> 4.03KB </span>","children":null,"spread":false},{"title":"water_flow.md <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"ackley.md <span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"samples.md <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false},{"title":"images","children":[{"title":"Surrogates.png <span style='color:#111;'> 63.42KB </span>","children":null,"spread":false}],"spread":true},{"title":"welded_beam.md <span style='color:#111;'> 1.26KB </span>","children":null,"spread":false},{"title":"secondorderpoly.md <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"BraninFunction.md <span style='color:#111;'> 2.80KB </span>","children":null,"spread":false},{"title":"Salustowicz.md <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false},{"title":"assets","children":[{"title":".Rhistory <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"style.css <span style='color:#111;'> 924B </span>","children":null,"spread":false}],"spread":false},{"title":"LinearSurrogate.md <span style='color:#111;'> 5.00KB </span>","children":null,"spread":false},{"title":"lp.md <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"tensor_prod.md <span style='color:#111;'> 964B </span>","children":null,"spread":false},{"title":"sphere_function.md <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"lobachesky.md <span style='color:#111;'> 5.10KB </span>","children":null,"spread":false},{"title":"multi_objective_opt.md <span style='color:#111;'> 1.26KB </span>","children":null,"spread":false},{"title":"wendland.md <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"variablefidelity.md <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"gramacylee.md <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"surrogate.md <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"neural.md <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"radials.md <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false},{"title":"tutorials.md <span style='color:#111;'> 3.06KB </span>","children":null,"spread":false},{"title":"optimizations.md <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"kriging.md <span style='color:#111;'> 5.13KB </span>","children":null,"spread":false},{"title":"InverseDistance.md <span style='color:#111;'> 5.31KB </span>","children":null,"spread":false},{"title":"polychaos.md <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"index.md <span style='color:#111;'> 3.21KB </span>","children":null,"spread":false},{"title":"cantilever.md <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"contributing.md <span style='color:#111;'> 557B </span>","children":null,"spread":false},{"title":"randomforest.md <span style='color:#111;'> 4.86KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":".github","children":[{"title":"workflows","children":[{"title":"TagBot.yml <span style='color:#111;'> 362B </span>","children":null,"spread":false},{"title":"CI.yml <span style='color:#111;'> 857B </span>","children":null,"spread":false},{"title":"CompatHelper.yml <span style='color:#111;'> 638B </span>","children":null,"spread":false},{"title":"Documentation.yml <span style='color:#111;'> 696B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"test","children":[{"title":"VariableFidelity.jl <span style='color:#111;'> 1.12KB </span>","children":null,"spread":false},{"title":"inverseDistanceSurrogate.jl <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"linearSurrogate.jl <span style='color:#111;'> 509B </span>","children":null,"spread":false},{"title":"AD_compatibility.jl <span style='color:#111;'> 6.19KB </span>","children":null,"spread":false},{"title":"random_forest.jl <span style='color:#111;'> 733B </span>","children":null,"spread":false},{"title":"SVMSurrogate.jl <span style='color:#111;'> 513B </span>","children":null,"spread":false},{"title":"secondOrderPolynomialSurrogate.jl <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false},{"title":"Wendland.jl <span style='color:#111;'> 417B </span>","children":null,"spread":false},{"title":"optimization.jl <span style='color:#111;'> 7.37KB </span>","children":null,"spread":false},{"title":"Radials.jl <span style='color:#111;'> 3.36KB </span>","children":null,"spread":false},{"title":"earth.jl <span style='color:#111;'> 405B </span>","children":null,"spread":false},{"title":"lobachesky.jl <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"MOE.jl <span style='color:#111;'> 739B </span>","children":null,"spread":false},{"title":"sampling.jl <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"GEK.jl <span style='color:#111;'> 815B </span>","children":null,"spread":false},{"title":"runtests.jl <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"neuralSurrogate.jl <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"PolynomialChaos.jl <span style='color:#111;'> 683B </span>","children":null,"spread":false},{"title":"SthenoKriging.jl <span style='color:#111;'> 4.30KB </span>","children":null,"spread":false},{"title":"Kriging.jl <span style='color:#111;'> 2.25KB </span>","children":null,"spread":false}],"spread":false},{"title":"CNAME <span style='color:#111;'> 20B </span>","children":null,"spread":false},{"title":"CONTRIBUTING.md <span style='color:#111;'> 699B </span>","children":null,"spread":false},{"title":"src","children":[{"title":"InverseDistanceSurrogate.jl <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"VariableFidelity.jl <span style='color:#111;'> 6.82KB </span>","children":null,"spread":false},{"title":"Surrogates.jl <span style='color:#111;'> 3.54KB </span>","children":null,"spread":false},{"title":"SecondOrderPolynomialSurrogate.jl <span style='color:#111;'> 2.02KB </span>","children":null,"spread":false},{"title":"LinearSurrogate.jl <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false},{"title":"SVMSurrogate.jl <span style='color:#111;'> 1.82KB </span>","children":null,"spread":false},{"title":"Wendland.jl <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"Radials.jl <span style='color:#111;'> 6.11KB </span>","children":null,"spread":false},{"title":"MOE.jl <span style='color:#111;'> 9.60KB </span>","children":null,"spread":false},{"title":"NeuralSurrogate.jl <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"Earth.jl <span style='color:#111;'> 12.42KB </span>","children":null,"spread":false},{"title":"GEK.jl <span style='color:#111;'> 5.50KB </span>","children":null,"spread":false},{"title":"Lobachesky.jl <span style='color:#111;'> 5.29KB </span>","children":null,"spread":false},{"title":"PolynomialChaos.jl <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false},{"title":"SthenoKriging.jl <span style='color:#111;'> 3.06KB </span>","children":null,"spread":false},{"title":"Sampling.jl <span style='color:#111;'> 5.23KB </span>","children":null,"spread":false},{"title":"Kriging.jl <span style='color:#111;'> 5.17KB </span>","children":null,"spread":false},{"title":"RandomForestSurrogate.jl <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false},{"title":"Optimization.jl <span style='color:#111;'> 57.78KB </span>","children":null,"spread":false},{"title":"utils.jl <span style='color:#111;'> 98B </span>","children":null,"spread":false}],"spread":false},{"title":"LICENSE.md <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 61B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】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,【只为小站】 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 【只为小站】 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,zhiweidada#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