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Neural-network
神经网络变量筛选—基于BP的神经网络变量筛选,MATLAB的经典算法(Neural network variable selection- based on BP neural network variable selection, MATLAB classical algorithm)
- 2013-10-20 00:04:01下载
- 积分:1
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pcmuu
μ律(美国标准,μ=255)pcm,包括编码、解码过程(μ-law (American Standard, μ = 255) pcm, including encoding, decoding)
- 2013-12-15 14:13:07下载
- 积分:1
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Srikant-2014
computer network: a optimization and control perspective
- 2015-03-25 10:18:16下载
- 积分:1
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zhou-face
A article about face Verification Using GaborWavelets and AdaBoost
- 2012-12-31 04:15:18下载
- 积分:1
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tuoye
托业资料,一些托业必备的短语大全,在里面的文章中有标注(TOEIC data, a number of essential phrases TOEIC Daquan, in which there are marked article)
- 2010-01-31 23:06:47下载
- 积分:1
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simulink_matlab_part1
说明: simulink和matlab的图形显示接口程序,十分实用(simulink and matlab graphical display interface procedure is very practical)
- 2008-10-28 16:35:03下载
- 积分:1
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Matlab
卡尔曼滤波器是一个对动态系统的状态序列进行线性最小误差估计的算法,一般用于线性系统。一般在运动跟踪领域中摄像机相对于目标物体运动有时属于非线性系统,但由于在一般运动跟踪问题中图像采集时间间隔较短,可近似将单位时间内目标在图像中的运动看作匀速运动,采用卡尔曼滤波器可以实现对目标运动参数的估计。(Kalman filter is a state sequence of linear dynamic systems smallest error estimation algorithm for linear systems in general. Usually in the field of motion tracking camera motion with respect to the target object may belong to nonlinear systems, but in general due to motion tracking problems shorter image acquisition time interval, a unit of time can be approximated to the target motion in the image is regarded as uniform motion, Kalman filter can achieve the target motion parameter estimation.)
- 2015-03-25 11:33:57下载
- 积分:1
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chp7_2
Optimal Dispatch of Generation Part
- 2009-11-14 13:49:20下载
- 积分:1
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hmmbox_4_1
the newer version from HMMbox 3.2
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Rezek, Oxford University)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.
The observation models has so far been implemented are
Gaussian, Poisson and Dirichlet
- 2009-12-07 05:27:13下载
- 积分:1
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shuxuemoxing
1,某厂向用户提供发动机,合同规定,第一、二、三季度末分别交货40台、60台、80台.每季度的生产费用为 f=ax+bx^2(元),其中x是该季生产的台数.若交货后有剩余,可用于下季度交货,但需支付存储费,每台每季度c元.已知工厂每季度最大生产能力为100台,第一季度开始时无存货,设a=50、b=0.2、c=4,问工厂应如何安排生产计划,才能既满足合同又使总费用最低.
2,函数的输入为A,B两个矩阵,实现如下功能:从A矩阵中找出与B完全相同的子矩阵,并将该子矩阵左上角的位置保存到2*n的向量index中,最后函数返回A中所有与B完全相同的子矩阵的左上角坐标。(1, a factory to provide users with the engine, the provisions of the contract, first, second and third quarter, respectively Delivery 40 units, 60 units, 80 units. The production cost of each quarter the f = ax+bx ^ 2 ($), where x is the number of Taiwan-quarter production. If after delivery, the surplus can be used for delivery next quarter, but to pay the storage fees, each quarterly c. Factory known each quarter of the maximum production capacity of 100 units of stock in the first quarter, setting a = 50, b = 0.2, c = 4, asked how the factory should arrange production plan, in order to both meet the contract and the lowest total cost of . 2, the function' s input is the two matrices A, B, to achieve the following functions: to identify from the matrix A and B are identical sub-matrix, and a position in the upper-left corner of the sub-matrix is saved to the vector index of 2* n, The last function returns the coordinates of the upper left corner of the sub-matrices A)
- 2013-04-14 00:28:15下载
- 积分:1