neural netWork 一個演示原理的代碼，便于初學(xué)者學(xué)習(xí)。
上傳時間： 2013-12-25
上傳用戶：181992417
k-step ahead predictions determined by simulation of the ％ one-step ahead neural netWork predictor. For NNARMAX ％ models the residuals are set to zero when calculating the ％ predictions. The predictions are compared to the observed output. ％
標簽： ahead predictions determined simulation
上傳時間： 2016-12-27
上傳用戶：busterman
Produces a matrix of derivatives of netWork output w.r.t. ％ each netWork weight for use in the functions NNPRUNE and NNFPE.
標簽： netWork w.r.t. derivatives Produces
上傳時間： 2013-12-18
上傳用戶：sunjet
％ Train a two layer neural netWork with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) netWorks can ％ be trained. ％ ％ Given a set of corresponding input-output pairs and an initial ％ netWork, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the netWork with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ netWork architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
標簽： Levenberg-Marquardt desired netWork neural
上傳時間： 2016-12-27
上傳用戶：jcljkh
This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural netWork models of dynamic systems. That is netWorks ％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive ％ counterparts.
標簽： function strategy Optimal Surgeon
上傳時間： 2013-12-19
上傳用戶：ma1301115706
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.
標簽： recursive prediction algorithm Gauss-Ne
上傳時間： 2016-12-27
上傳用戶：ljt101007
8139 netWork card linux driver
上傳時間： 2016-12-28
上傳用戶：skhlm
structure EM算法 bayesian netWork structure learning
標簽： structure bayesian learning netWork
上傳時間： 2013-11-27
上傳用戶：ynsnjs
wireless sensor netWork 電磁感應(yīng)部分電路設(shè)計參考
標簽： wireless netWork sensor 電磁感應(yīng)
上傳時間： 2013-12-26
上傳用戶：sk5201314
wireless seneor netWork 超聲傳感器部分電路原理圖設(shè)計
標簽： wireless netWork seneor 超聲傳感器
上傳時間： 2014-01-01
上傳用戶：asdkin
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