Multi-function

Multi level feed back queue

Multi level feed back queue

标签： Multi level queue feed

上传时间： 2017-08-02

上传用户：wendy15
Dynamic Time Warping Function in MATLAB

Dynamic Time Warping Function in MATLAB

标签： Function Dynamic Warping MATLAB

上传时间： 2013-12-12

上传用户：电子世界
use the base function Crypto API for crypt/decrypt message and view cryptoproviders in your system.(

use the base function Crypto API for crypt/decrypt message and view cryptoproviders in your system.(console application)

标签： cryptoproviders function decrypt message

上传时间： 2013-12-15

上传用户：851197153
Recent Advances in Multi Robot Systems

Recent Advances in Multi Robot Systems

标签： Advances Systems Recent Multi

上传时间： 2017-08-06

上传用户：songnanhua
Conditional Entropy of a function

Conditional Entropy of a function

标签： Conditional function Entropy of

上传时间： 2017-08-08

上传用户：阿四AIR
ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead

ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.

标签： introduced literature Broomhead Function

上传时间： 2017-08-08

上传用户：lingzhichao
its creates virtual multi tasking i DOS

its creates virtual multi tasking i DOS

标签： creates virtual tasking multi

上传时间： 2013-12-22

上传用户：tedo811
function g=distance_classify(A,b) 距离判别法程序。输入已分类样本A（元胞数组）

function g=distance_classify(A,b) 距离判别法程序。输入已分类样本A（元胞数组），输入待分类样本b 输出待分类样本b的类别g 注：一般还应计算回代误差yita 输入已知分类样本的总类别数n 每类作为元胞数组的一列

标签： distance_classify function 判别分类

上传时间： 2013-11-25

上传用户：yyyyyyyyyy
function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序输入A、B为已知类别样本的样本-变量矩阵

function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本输出C为判别系数向量

标签： fisher_classify function clusters fisher

上传时间： 2013-12-19

上传用户：CHINA526
实现了蚁群算法求解TSP问题。注释详细 function[R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACATSP(C,NC_max,m,

实现了蚁群算法求解TSP问题。注释详细 function[R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACATSP(C,NC_max,m,Alpha,Beta,Rho,Q) ------------------------------------------------------------------------- 主要符号说明 C n个城市的坐标，n×2的矩阵 NC_max最大迭代次数 m蚂蚁个数 Alpha表征信息素重要程度的参数 Beta表征启发式因子重要程度的参数 Rho信息素蒸发系数 Q信息素增加强度系数 R_best各代最佳路线 L_best各代最佳路线的长度 =========================================================================

标签： Shortest_Length Shortest_Route function R_best

上传时间： 2014-01-17

上传用户：lunshaomo