Search - cross validation neural network MATLAB

Search - cross validation neural network MATLAB - List

[matlab] crossvalidation DL : 0: Date : 2025-12-18 Size : 20kb User : 龙陈
[matlab] NN-10-fold DL : 0: estimate the test accuracy,training accuray and validation accuracy of a neural network with 10-fold cross validation.-estimate the test accuracy,training accuray and validation accuracy of a neural network with 10-fold cross validation.
Date : 2025-12-18 Size : 1kb User : sak
[matlab] PNN-CVLOO-code DL : 0: The code implements a probabilstic Neuraol network for classification problems trained with a Leave One Out Cross Validation Scheme in Matlab (version 7 or above). The following toolboxes are required: statidtics, optimization and neural networks.
Date : 2025-12-18 Size : 33kb User : Alfredo/Passos
[matlab] cross-validation DL : 0: matlab交叉验证cross Validation，把样本集分为训练集和测试集，防止网络出现过拟合，提高网络的泛化能力和预测精度-cross Validation for matlab，to estimate the test accuracy,training accuray and validation accuracy of a neural network
Date : 2025-12-18 Size : 1kb User : 周杰伦
[matlab] SRGTSToolbox DL : 5: SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能：实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。基于代理的优化：高效的全局优化（EGO）算法。其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)
Date : 2025-12-18 Size : 354kb User : pluto1888