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. ％
標簽： generalization calculates prediction function
上傳時間： 2014-12-03
上傳用戶：maizezhen
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
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. ％
標簽： generalization calculates prediction function
上傳時間： 2016-12-27
上傳用戶：腳趾頭
the autocorrelation values of the generated 1000 samples
標簽： autocorrelation the generated samples
上傳時間： 2016-12-31
上傳用戶：stewart·
the magnitude responses in dB of the window functions in the frequency domain
標簽： the magnitude functions frequency
上傳時間： 2014-01-08
上傳用戶：teddysha
The purpose of this document is to define the format of the messages and data being communicated between microprocessors used in heavy-duty vehicle applications. It is meant to serve as a guide toward a standard practice to promote software compatibility among microcomputer based modules. This document is to be used with SAE J1708. SAE J1708 defines the requirements for the hardware and basic protocol that is needed to implement this document.
標簽： communicated the document messages
上傳時間： 2013-12-09
上傳用戶：tedo811
Some of the basic design of C language algorithm C語言的幾種算法：自頂向下、逐步求精方法、簡單排序算法、枚舉法、迭代法、遞推與遞歸法、分治法
標簽： algorithm language design basic
上傳時間： 2017-01-02
上傳用戶：gundan
The invention of the compound additive for alkaline PH value of more than 13 strong base will not only be able to prevent soil acidification, can effectively improve the soil acidic, as well as the rich soil of minerals, in the air to absorb the carbon and nitrogen for The use of plants.
標簽： invention compound additive alkaline
上傳時間： 2013-12-08
上傳用戶：xauthu
n algorithm for domain independent linear text segmentation This the Windows version of the C99 algorithm that was presented in my NAACL00 paper. [Directories] bin contains executables, JAR file and test files classes compiled code as individual class files doc NAACL 00 paper describing the algorithm src source code for C
標簽： segmentation independent algorithm the
上傳時間： 2017-01-07
上傳用戶：ghostparker
Overview If you have been wanting to learn Java, check out the newly revised fourth edition of the best-seller Sams Teach Yourself Programming with Java in 24 Hours. This step-by-step tutorial will teach you how to create simple Java programs and applets. Comprised of 24 one-hour lessons, this new edition focuses on key programming concepts and essential Java basics, has been improved by dozens of reader comments, and is reorganized to better cover the latest developments in Java. The book s coverage of core Java programming topics has also been expanded. A great starting point for learning Java, this book is also a great primer to reading sams Teach Yourself Java in 21 Days.
標簽： the Overview edition wanting
上傳時間： 2017-01-10
上傳用戶：huyiming139
