搜索结果
找到约 32 项符合
estimate 的查询结果
按分类筛选
人工智能/神经网络 This code is to estimate the parameter of model of Mixture Gauss which is popular model used in patt
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
数据结构 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
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
生物技术 estimate the orientation of fingerprint
estimate the orientation of fingerprint
matlab例程 Use DCT-LMS algorithm with recursions on C to estimate optimum weight vectors for linear estimation.
Use DCT-LMS algorithm with recursions on C to estimate optimum weight vectors for linear estimation.
matlab例程 To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonli
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 measur ...
matlab例程 This program is a new way to estimate the coherence function. It s based on the MVDR and is much mor
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 functio ...
其他 功率谱估计的相关资料Power spectrum estimate of relevant information
功率谱估计的相关资料Power spectrum estimate of relevant information
matlab例程 This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation con
This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros)
matlab例程 This function calculates Akaike s final prediction error ％ estimate of the average generalization e
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 train ...
人工智能/神经网络 This function calculates Akaike s final prediction error ％ estimate of the average generalization e
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 fin ...