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/309535/13669491

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/309535/13669504

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/307450/13722139

m predict1.m

function MSE=Predict1(data,m,tau,P,lmd,MaxStep) %单步预测 % disp('--------最大预测步数---------') % MaxStep=round(1/lmd) % % MaxStep=5; % % MaxStep=MaxStep+5;%避免预测太长控制在10步 deltaT=1; for i=1:Max
www.eeworm.com/read/307306/13724351

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_mo
www.eeworm.com/read/307306/13724369

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/306993/13733631

c predict-c.c

/***************************************************************************** * predict.c: h264 encoder ***************************************************************************** * Copyright (C
www.eeworm.com/read/303628/13810897

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_mo
www.eeworm.com/read/303628/13810912

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/303058/13822590

m kf_predict.m

%KF_PREDICT Perform Kalman Filter prediction step % % Syntax: % [X,P] = KF_PREDICT(X,P,A,Q,B,U) % % In: % X - Nx1 mean state estimate of previous step % P - NxN state covariance of previ