This code is to ESTIMATE the parameter of model of Mixture Gauss which is popular model used in pattern classification . JAVA 写的估计复合高斯模型中的参数
标签: model parameter ESTIMATE Mixture
上传时间: 2015-04-10
上传用户:kikye
理解并掌握分析回溯算法效率的方法。 使用ESTIMATE算法就8皇后问题给出效率估算
上传时间: 2014-01-21
上传用户:xuanjie
ESTIMATE the orientation of fingerprint
标签: orientation fingerprint ESTIMATE the
上传时间: 2013-12-23
上传用户:cursor
Use DCT-LMS algorithm with recursions on C to ESTIMATE optimum weight vectors for linear estimation.
标签: recursions estimation algorithm ESTIMATE
上传时间: 2014-01-10
上传用户:13160677563
To ESTIMATE the input-output mapping with inputs x % and outputs y generated by the following nonlinear, % nonstationary state space model: % x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] % + 8cos(1.2t) + process noise % y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 % + time varying measurement noise % using a multi-layer perceptron (MLP) and both the EKF and % the hybrid importance-samping resampling (SIR) algorithm.
标签: input-output the generated following
上传时间: 2014-01-05
上传用户:royzhangsz
This program is a new way to ESTIMATE the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB. There are 2 programs: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm.
标签: coherence the ESTIMATE function
上传时间: 2016-07-03
上传用户:athjac
功率谱估计的相关资料Power spectrum ESTIMATE of relevant information
标签: information spectrum ESTIMATE relevant
上传时间: 2013-12-27
上传用户:dbs012280
This function provides an ARMA spectral ESTIMATE which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros)
标签: correlation satisfying function ESTIMATE
上传时间: 2013-12-21
上传用户:朗朗乾坤
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. %
标签: generalization calculates prediction function
上传时间: 2014-12-03
上传用户: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. %
标签: generalization calculates prediction function
上传时间: 2016-12-27
上传用户:脚趾头