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/163324/10165981
m predict1.m
function[XF,YF]=PREDICT1(TP,XP,YP,XDP,YDP,THETP,TF,THADP,THBDP,ACC,HP,THDMAX,ACCERR)
H=HP*10.;
T=TP;
X=XP;
Y=YP;
XD=XDP;
YD=YDP;
THET=THETP;
THAD=THADP;
THBD=THBDP;
S=0.;
while T
www.eeworm.com/read/357874/10199047
m predict_performance.m
function a = predict_performance(algorithm, algorithm_params, patterns, targets)
% Predict the final performance of an algorithm from the learning curves
% Inputs:
% algorithm - The a
www.eeworm.com/read/356606/10224025
asv ann-predict.asv
clear
tf='AnnData.txt';
fid=fopen(tf);
n=7;
m=3000;
geshi='';
for i=1:n
geshi=[geshi '%f '];
end
ALLData=fscanf(fid,geshi,[n,m]);
[mx,my]=size(ALLData);
%%％％％％％％％％％％％%控制预测点的数目％％％％％％％％％％
www.eeworm.com/read/356494/10225534
m predict2050.m
function predict2050
%预测2050年人口
%Logistic人口模型:x(t)=N/(1+(N/x0-1)*exp(-r*t))
%x为1965年到2004年人口数据
%N是人口的最大值，由自然条件或环境等条件因素造成的
%x0是初始时刻的人口数量，r是固有的人口增长率
%By：Ji Lin
%Email: linji@live.com
%Blog: ht
www.eeworm.com/read/281195/10257618
c svm-predict.c
#include
#include
#include
#include
#include "svm.h"
char* line;
int max_line_len = 1024;
struct svm_node *x;
int max_nr_attr = 64;
struct svm_model* model;
www.eeworm.com/read/281195/10257634
java svm_predict.java
import libsvm.*;
import java.io.*;
import java.util.*;
class svm_predict {
private static double atof(String s)
{
return Double.valueOf(s).doubleValue();
}
private static int atoi(String s)
{
www.eeworm.com/read/426337/10259854
c predict-c.c
/*****************************************************************************
* predict.c: h264 encoder
*****************************************************************************
* Copyright (C
www.eeworm.com/read/426337/10259856
o predict-c.o
www.eeworm.com/read/355337/10274863
m eimm_predict.m
%IMM_PREDICT Interacting Multiple Model (IMM) Filter prediction step
%
% Syntax:
% [X_p,P_p,c_j,X,P] = EIMM_PREDICT(X_ip,P_ip,MU_ip,p_ij,ind,dims,A,a,param,Q)
%
% In:
% X_ip - Cell array contain
www.eeworm.com/read/355337/10274867
m uimm_predict.m
%IMM_PREDICT UKF based Interacting Multiple Model (IMM) Filter prediction step
%
% Syntax:
% [X_p,P_p,c_j,X,P] = UIMM_PREDICT(X_ip,P_ip,MU_ip,p_ij,ind,dims,A,a,param,Q)
%
% In:
% X_ip - Cell arr