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(biāo)簽： ahead predictions determined simulation
上傳時間： 2016-12-27
上傳用戶：busterman
This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.
標(biāo)簽： prediction one-step program chaotic
上傳時間： 2017-07-15
上傳用戶：風(fēng)之驕子
By using a MATLAB program, design a Delta Modulation (DM) system with one step-size and a modified DM system with two step-sizes.
標(biāo)簽： Modulation step-size modified program
上傳時間： 2017-08-15
上傳用戶：LIKE
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 College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標(biāo)簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
Input : A set S of planar points Output : A convex hull for S Step 1: If S contains no more than five points, use exhaustive searching to find the convex hull and return. Step 2: Find a median line perpendicular to the X-axis which divides S into SL and SR SL lies to the left of SR . Step 3: Recursively construct convex hulls for SL and SR. Denote these convex hulls by Hull(SL) and Hull(SR) respectively. Step 4: Apply the merging procedure to merge Hull(SL) and Hull(SR) together to form a convex hull. Time complexity: T(n) = 2T(n/2) + O(n) = O(n log n)
標(biāo)簽： contains Output convex planar
上傳時間： 2017-02-19
上傳用戶：wyc199288
The code performs a number (ITERS) of iterations of the Bailey s 6-step FFT algorithm (following the ideas in the CMU Task parallel suite). 1.- Generates an input signal vector (dgen) with size n=n1xn2 stored in row major order In this code the size of the input signal is NN=NxN (n=NN, n1=n2=N) 2.- Transpose (tpose) A to have it stored in column major order 3.- Perform independent FFTs on the rows (cffts) 4.- Scale each element of the resulting array by a factor of w[n]**(p*q) 5.- Transpose (tpose) to prepair it for the next step 6.- Perform independent FFTs on the rows (cffts) 7.- Transpose the resulting matrix The code requires nested Parallelism.
標(biāo)簽： iterations performs Bailey number
上傳時間： 2014-01-05
上傳用戶：libenshu01
AHP toolbox AHPCALC Perform a complete AHP calculation. AHPHIER One-step hierarchical assembly of AHP weighting vector. AHPREORDER Internal reordering function called by AHPCALC. AHPVECTOR Calculate the AHP ranking or weighting vector from an AHP reciproal matrix. AHPMAKEMAT Turn a vector of comparisons into an AHP reciprocal matrix. Copyright (C) 2001 Michael J. Scott
標(biāo)簽： calculation hierarchic AHP One-step
上傳時間： 2013-11-28
上傳用戶：PresidentHuang
This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is trained by a chaotic back propagation method
標(biāo)簽： predictor is prepared one-step
上傳時間： 2013-12-26
上傳用戶：TRIFCT
sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step of every feature-based multiple view reconstruction vision algorithm to obtain optimal 3D structure and motion (i.e. camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines motion and structure by minimizing the reprojection error between the observed and predicted image points.
標(biāo)簽： adjustment invariably package generic
上傳時間： 2013-12-18
上傳用戶：xsnjzljj
AX2002/A consists of step-down switching regulator with PWM control. Thesedevise include a refer
標(biāo)簽： Regulators Switching Feedback Voltage
上傳時間： 2013-05-31
上傳用戶：hfmm633
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