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通讯/手机编程 capture frames in mobile 6.0 you can edit raw data with callback function
capture frames in mobile 6.0
you can edit raw data with callback function
人工智能/神经网络 function [U,center,result,w,obj_fcn]= fenlei(data) [data_n,in_n] = size(data) m= 2 % Exponent fo
function [U,center,result,w,obj_fcn]= fenlei(data)
[data_n,in_n] = size(data)
m= 2 % Exponent for U
max_iter = 100 % Max. iteration
min_impro =1e-5 % Min. improvement
c=3
[center, U, obj_fcn] = fcm(data, c)
for i=1:max_iter
if F(U)>0.98
break
else
w_new=eye(in_n,in_n)
center1=sum(cent ...
GPS编程 function [U,V,num_it]=fcm(U0,X) % MATLAB (Version 4.1) Source Code (Routine fcm was written by R
function [U,V,num_it]=fcm(U0,X)
% MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
% Hathaway on June 21, 1994.) The fuzzification constant
% m = 2, and the stopping criterion for successive partitions is epsilon =??????.
%*******Modified 9/15/04 to have epsilon = ...
嵌入式/单片机编程 function varargout = lcmgui(varargin) % LCMGUI M-file for lcmgui.fig % LCMGUI, by itself, creates
function varargout = lcmgui(varargin)
% LCMGUI M-file for lcmgui.fig
% LCMGUI, by itself, creates a new LCMGUI or raises the existing
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 ...
matlab例程 This function applies the Optimal Brain Surgeon (OBS) strategy for % pruning neural network models
This function applies the Optimal Brain Surgeon (OBS) strategy for
% pruning neural network models of dynamic systems. That is networks
% trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive
% counterparts.
其他 Please carefully read the many features of your package and then write the specific function (at lea
Please carefully read the many features of your package and then write the specific function (at least 20 words). As far as possible not to let the station master of the time spent in the
uCOS This function checks the mailbox to see if a message is available. Unlike OSMboxPend(), OSMboxAccep
This function checks the mailbox to see if a message is available. Unlike OSMboxPend(),
OSMboxAccept() does not suspend the calling task if a message is not available.
matlab例程 For Batch Estimation Method, the function and code supplyment.
For Batch Estimation Method, the function and code supplyment.