應(yīng)用GAUSS-Newton.圓柱擬合
標(biāo)簽： GAUSS-Newton
上傳時(shí)間： 2014-10-14
上傳用戶：CSUSheep
非線性最小二乘問(wèn)題的修正GAUSS-Newton法所計(jì)算的函數(shù)
標(biāo)簽： GAUSS-Newton 非線性 正 函數(shù)
上傳時(shí)間： 2017-01-20
上傳用戶：李彥東
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 , which has of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer.
標(biāo)簽： recursive prediction algorithm Gauss-Ne
上傳時(shí)間： 2016-12-27
上傳用戶：ljt101007
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 trained with ％ weight decay, an estimate of the noise variance, and the GAUSS-Newton ％ Hessian. ％
標(biāo)簽： generalization calculates prediction function
上傳時(shí)間： 2014-12-03
上傳用戶：maizezhen
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 final prediction error estimate (fpe), the effective number ％ of weights in the network if it has been trained with weight decay, ％ an estimate of the noise variance, and the GAUSS-Newton Hessian. ％
標(biāo)簽： generalization calculates prediction function
上傳時(shí)間： 2016-12-27
上傳用戶：腳趾頭
阻尼最小二乘法（即Levenberg-Marquarat算法)，是GAUSS-Newton算法的一種修正法。
標(biāo)簽： Levenberg-Marquarat 阻尼 最小二乘法 算法
上傳時(shí)間： 2014-02-19
上傳用戶：無(wú)聊來(lái)刷下
程序包中含有Lagrange插值、Newton插值、Hermite插值、jacobi迭代、gauss迭代、 超松弛迭代、cholesky分解
標(biāo)簽： Lagrange cholesky Hermite Newton
上傳時(shí)間： 2017-01-15
上傳用戶：kbnswdifs
Numerical analysis （Gauss、Bisection、jacobi、Lagrange、Newton、powermethod等）
標(biāo)簽： powermethod Numerical Bisection Lagrange
上傳時(shí)間： 2014-01-07
上傳用戶：bjgaofei
solve power flows by gauss seidel method ans newton Rapson
標(biāo)簽： Rapson method newton seidel
上傳時(shí)間： 2017-08-11
上傳用戶：z754970244
Unix 到 Newton通訊的程序
上傳時(shí)間： 2013-12-23
上傳用戶：330402686
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