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  1. EMfor_neural_networks

    0下载:
  2. In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial Co
  3. 所属分类:matlab例程

    • 发布日期:2008-10-13
    • 文件大小:193.57kb
    • 提供者:晨间
  1. GEE

    1下载:
  2. The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The fu
  3. 所属分类:Mathimatics-Numerical algorithms

    • 发布日期:2017-03-29
    • 文件大小:10.61kb
    • 提供者:Allan KAO
  1. ldiv

    1下载:
  2. The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The fu
  3. 所属分类:Algorithm

    • 发布日期:2017-03-30
    • 文件大小:1.37kb
    • 提供者:Allan KAO
  1. GEE

    0下载:
  2. 此Matlab程序展示部分主元法实现的高斯消元算法。-This Matlab program demonstrates some of the main element to achieve Gaussian elimination algorithm.
  3. 所属分类:matlab

    • 发布日期:2017-04-07
    • 文件大小:10.3kb
    • 提供者:王娟
  1. GEE

    0下载:
  2. LU分解,LU法解方程,matlab语言-LU decomposition, LU method for solving equations, matlab language
  3. 所属分类:matlab

    • 发布日期:2017-04-02
    • 文件大小:11.46kb
    • 提供者:wxq
  1. EMdemo

    0下载:
  2. EM算法在神经网络中的应用,可以用来进行视频数据分类。-In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Wil
  3. 所属分类:matlab

    • 发布日期:
    • 文件大小:13.83kb
    • 提供者:gaofei
  1. demo3

    0下载:
  2. 在demo中,用EKF和有噪声的EKF训练非线性、非平稳数据。-In this demo, I use the EKF and EKF with noise adaptation to train a neural network with data generated a nonlinear, non-stationary state space model. Adaptation is done by matching the innovations ensemble covariance
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-12-15
    • 文件大小:5kb
    • 提供者:zhang
  1. GEE资料(1)

    1下载:
  2. google earth engine 入门教程(Getting started with Google Earth engine)
  3. 所属分类:数值算法/人工智能

    • 发布日期:2020-09-25
    • 文件大小:19.88mb
    • 提供者:怀沙
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