代码搜索：predict
找到约 2,271 项符合「predict」的源代码
代码结果 2,271
www.eeworm.com/read/185349/9042105
h predict.h
/*****************************************************************************
*
* T264 AVC CODEC
*
* Copyright(C) 2004-2005 llcc
* 2004-2005 visionany
www.eeworm.com/read/185349/9042161
c predict.c
/*****************************************************************************
*
* T264 AVC CODEC
*
* Copyright(C) 2004-2005 llcc
* 2004-2005 visionany
www.eeworm.com/read/282594/9081232
m predict.m
function [x,P]= predict (x,P,v,g,Q,WB,dt)
%function [xn,Pn]= predict (x,P,v,g,Q,WB,dt)
%
% Inputs:
% x, P - SLAM state and covariance
% v, g - control inputs: velocity and gamma (steer angle)
www.eeworm.com/read/381211/9104279
m predict.m
function [e,b]=predict(x,N,c)
% [e,b]=predict(x,N,c)
%
% Least-squares one-step prediction of a single waveform.
% Note: this version has rounding and is used mainly in signsl comprssion.
% Input
www.eeworm.com/read/183445/9158668
m predict.m
function prediction = predict(model,Xt,n, simfct, args)
% Iterative prediction of a trained LS-SVM NARX model (in recurrent mode)
%
% >> Yp = predict({Xw,Yw,type,gam,sig2}, Xt, nb)
% >> Yp = predict(
www.eeworm.com/read/183183/9175827
class predict.class
www.eeworm.com/read/183183/9175833
java predict.java
/**
* according to expression number, deal with suitable stack
*
* @author shirly
* @version:1.2
*/
public class Predict {
/**
* @param n
* is the expression number ac
www.eeworm.com/read/376739/9309465
h predict.h
/*****************************************************************************
* predict.h: h264 encoder library
*****************************************************************************
* C
www.eeworm.com/read/376739/9309567
c predict.c
/*****************************************************************************
* predict.c: h264 encoder
*****************************************************************************
* Copyright
www.eeworm.com/read/374698/9388849
m predict.m
function prediction = predict(model,Xt,n, simfct, args)
% Iterative prediction of a trained LS-SVM NARX model (in recurrent mode)
%
% >> Yp = predict({Xw,Yw,type,gam,sig2}, Xt, nb)
% >> Yp = predict(