Gauss-Newton
共 5 篇文章
Gauss-Newton 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 5 篇文章，持续更新中。
非线性最小二乘问题的修正Gauss-Newton法所计算的函数
非线性最小二乘问题的修正Gauss-Newton法所计算的函数
Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Ne
Train a two layer neural network with a recursive prediction error
％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully
％ connected) networks can be trained.
％
％ The activation fun
This function calculates Akaike s final prediction error ％ estimate of the average generalization e
This function calculates Akaike s final prediction error
％ estimate of the average generalization error for network
％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive
％ counterparts.
This function calculates Akaike s final prediction error ％ estimate of the average generalization e
This function calculates Akaike s final prediction error
％ estimate of the average generalization error.
％
％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the
％ final prediction e
阻尼最小二乘法（即Levenberg-Marquarat算法)
阻尼最小二乘法（即Levenberg-Marquarat算法)，是Gauss-Newton算法的一种修正法。