-
loadFileY4m
code for load video in matlab
- 2013-08-15 05:39:30下载
- 积分:1
-
DC_Motor2
MATLAB HELP FUNDENMENTAL IN YOUR CODE FOR 2 FILE
- 2014-11-22 01:34:57下载
- 积分:1
-
MT
说明: MT filling technique for data re ordering technique
- 2012-09-16 13:16:34下载
- 积分:1
-
capacity
信息论中计算信道容量的matlab编程代码,经测试可用。(Information theory to calculate the channel capacity matlab programming code, have been tested.)
- 2013-12-20 20:35:06下载
- 积分:1
-
cartoon
CARTOON Image abstraction using bilateral filtering.
This function uses the bilateral filter to abstract
an image following the method outlined in:
Holger Winnemoller, Sven C. Olsen, and Bruce Gooch.
Real-Time Video Abstraction. In Proceedings of ACM
SIGGRAPH, 2006.
- 2014-01-28 16:39:55下载
- 积分:1
-
chap4_9
Sugeno模糊模型的倒立摆控制单链路
(Sugeno fuzzy model of the single-link inverted pendulum control)
- 2010-10-26 09:39:41下载
- 积分:1
-
special1
special trainig of a neural network
- 2009-11-14 02:00:11下载
- 积分:1
-
Hopfield-NN
HOPFIELDNETWORK M-file for HopfieldNetwork.fig . HOPFIELDNETWORK, by itself, creates a new HOPFIELDNETWORK or raises the existing singleton*.
H = HOPFIELDNETWORK returns the handle to a new HOPFIELDNETWORK or the handle to
the existing singleton*.
HOPFIELDNETWORK( CALLBACK ,hObject,eventData,handles,...) calls the local
function named CALLBACK in HOPFIELDNETWORK.M with the given input arguments.
HOPFIELDNETWORK( Property , Value ,...) creates a new HOPFIELDNETWORK or raises the
existing singleton*. Starting from the left, property value pairs are
applied to the GUI before hopfieldNetwork_OpeningFunction gets called. An
unrecognized property name or invalid value makes property application
stop. All inputs are passed to hopfieldNetwork_OpeningFcn via varargin.
- 2012-06-21 19:56:41下载
- 积分:1
-
2links-Robo
In this paper, an orthogonal functions neural network is used to
achieve the control of nonlinear systems. The adaptive controller is constructed
by using Chebyshev orthogonal polynomials neural network, which has advantages
such as simple structure and fast convergence speed. The adaptive learning
law of orthogonal neural network is derived to guarantee that the adaptive
weight errors and tracking errors are bound by using Lyapunov stability theory.
Simulation results are given for a two-link robot in the end of the paper, and the
control scheme is validated.
- 2014-11-09 15:47:04下载
- 积分:1
-
poisson
poisson to calculate call number
- 2015-04-08 10:33:34下载
- 积分:1