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. %
标签: generalization calculates prediction function
上传时间: 2016-12-26
上传用户:脚趾头
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.
标签: recursive prediction algorithm Gauss-Ne
上传时间: 2016-12-26
上传用户:ljt101007
[p]=ss_Pe42(rho_in_dB) % SS_PE42 finds the measured error rate for the given value of % signal per interference ratio in dB.
标签: rho_in_dB the measured signal
上传时间: 2014-01-13
上传用户:qw12
Error probability performance for W-CDMA systems with multiple transmit and receive antennas in correlated Nakagami fading channels
标签: probability performance antennas multiple
上传时间: 2014-01-07
上传用户:WMC_geophy
64-bits H.264 from ffmpeg 2008 version Build in VC++ 2008 no error warning, Jesse Stone, Taiwan
标签: 2008 version warning Taiwan
上传时间: 2013-12-09
上传用户:zhangjinzj
关于struts2spring中的Error filterStart错误
标签: struts2spring filterStart Error 错误
上传时间: 2014-01-22
上传用户:凤临西北
解决 struts2.0 中过滤器Error
上传时间: 2013-12-26
上传用户:奇奇奔奔
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
标签: mean-square multiuser receiver project
上传时间: 2014-11-21
上传用户:ywqaxiwang
asunchronous machine biblio [correction]
标签: asunchronous correction machine biblio
上传时间: 2014-01-10
上传用户:zhangzhenyu
Bit error probability curve for QPSK mimo 2*1
标签: probability error curve QPSK
上传时间: 2014-07-23
上传用户:asdkin