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数学计算 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
文章/文档 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。
matlab例程 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 error estimate (fpe), the effective number of
％ weights in the network if the network has been train ...
matlab例程 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 functions can either be linear or tanh. The network
％ architecture is defined by the matrix NetDef , w ...
人工智能/神经网络 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.
％
％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat)
％ produces the fin ...