代码搜索：One-step
找到约 26 项符合「One-step」的源代码
代码结果 26
www.eeworm.com/read/494520/6377122
m ahphier.m
function out=ahphier(all,varargin)
%AHPHIER One-step hierarchical assembly of AHP weighting vector
% AHPHIER(ALL,A_1,A_2,...,A_N) combines the normalized vectors
% A_1,A_2,...,A_N of lower
www.eeworm.com/read/149915/12333415
m ahphier.m
function out=ahphier(all,varargin)
%AHPHIER One-step hierarchical assembly of AHP weighting vector
% AHPHIER(ALL,A_1,A_2,...,A_N) combines the normalized vectors
% A_1,A_2,...,A_N of lower
www.eeworm.com/read/283509/9015045
m pred.m
function [xpred, Ppred]=pred(xest,Pest,dt,u)
%
%[xpred, Ppred]=pred(xest,Pest,dt,u)
%
% HDW 16/12/94 modified 31/05/00
% Function to generate a one-step vehicle prediction from
% previous estim
www.eeworm.com/read/304673/13789368
m pred.m
function [xpred, Ppred]=pred(xest,Pest,dt,u)
%
%[xpred, Ppred]=pred(xest,Pest,dt,u)
%
% HDW 16/12/94 modified 31/05/00
% Function to generate a one-step vehicle prediction from
% previous estim
www.eeworm.com/read/304670/13789674
m pred.m
function [xpred, Ppred]=pred(xest,Pest,dt,u)
%
%[xpred, Ppred]=pred(xest,Pest,dt,u)
%
% HDW 16/12/94 modified 31/05/00
% Function to generate a one-step vehicle prediction from
% previous estim
www.eeworm.com/read/381211/9104289
m predict_q.m
function [e,b]=predict_q(x,N,q)
% [e,b]=predict_q(x,N,q)
%
% Least-squares one-step prediction with quantizing.
% Lossy prediction in the time domain with recovery possible.
%
% Inputs:
% N
www.eeworm.com/read/384089/8900404
m kpredict.m
function Yhat=kpredict(method,NetDef,NN,p,W1,W2,par1,par2,par3)
% KPREDICT
% --------
% k-step ahead predictions determined by simulation of the
% one-step ahead neural network
www.eeworm.com/read/374010/9423718
m kpredict.m
function Yhat=kpredict(method,NetDef,NN,p,W1,W2,par1,par2,par3)
% KPREDICT
% --------
% k-step ahead predictions determined by simulation of the
% one-step ahead neural network
www.eeworm.com/read/170249/9813408
m kpredict.m
function Yhat=kpredict(method,NetDef,NN,p,W1,W2,par1,par2,par3)
% KPREDICT
% --------
% k-step ahead predictions determined by simulation of the
% one-step ahead neural network
www.eeworm.com/read/111672/6154048
m kpredict.m
function Yhat=kpredict(method,NetDef,NN,p,W1,W2,par1,par2,par3)
% KPREDICT
% --------
% k-step ahead predictions determined by simulation of the
% one-step ahead neural network