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LSSVM

于 2021-01-04 发布

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下载积分: 1 下载次数: 3

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说明： pso优化lssvm代码，用于回归预测等可以获得更好的效果(PSO optimizes the LSSVM code, which can be used for regression prediction to get better results)

文件列表：

LSSVM\FJ14SumN.mat, 37332 , 2015-09-12
LSSVM\lssvm.m, 1636 , 2017-11-06
LSSVM, 0 , 2017-11-26
LSSVM\LSSVM\FJ10SpriN.mat, 44147 , 2015-09-12
LSSVM\LSSVM\FJ10WinN.mat, 42543 , 2015-09-13
LSSVM\LSSVM\FJ14SumN.mat, 37332 , 2015-09-12
LSSVM\LSSVM\FJ7AutuN.mat, 61116 , 2015-09-13
LSSVM\LSSVM\lssvm.m, 1636 , 2017-11-06
LSSVM\LSSVM, 0 , 2018-04-16

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GS
说明：第01章 DB2应用开发概述.rar(Chapter 01 outlines the DB2 application development. Rar)

2007-08-04 12:10:59下载

积分：1
fl_stein
误差扩散 FLOYD的使用~~~~~~~~~~(Use of error diffusion FLOYD~~~~~~~~~)

2010-10-14 00:08:41下载

积分：1
PHDandMUSIC
压缩包内容是实现现代数字信号处理技术中的PHD和MUSIC算法原程序和结果，有很大的参考价值(Archive content is the modern digital signal processing technology to achieve the PHD and the MUSIC algorithm and results of the original program, has great reference value)

2010-11-23 19:48:36下载

积分：1
Desktop
used to detect colours

2013-01-19 13:32:02下载

积分：1
LMS
说明：最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

2019-02-21 22:43:06下载

积分：1
CopyObject
Boosector file ke infor wich is imprtant

2010-09-20 09:30:50下载

积分：1
ElmanIdentification
自己编写的改进ELMAN网络辨识程序.非常实用(I have written procedures to improve the ELMAN network identification. Very useful)

2008-07-23 17:43:44下载

积分：1
Xiao
Xiao信道模型的建立及仿真，还有自相关函数的仿真结果(Xiao channel model simulation correlated function)

2021-03-25 16:19:13下载

积分：1
DSP
实验一离散时间信号的时域表示实验二离散时间系统的时域表示实验三离散时间序列的傅立叶变换实验四 Z变换实验五离散傅立叶变换实验六数字滤波器的结构实验七 IIR数字滤波器设计实验八 FIR数字滤波器设计实验九 DSP实现(Experiment a discrete-time signal in the time domain representation Experiment two discrete-time time-domain representation of the system Experiment three discrete Fourier transform of the time series Experiments four Z-transform Experimental five discrete Fourier transform Six experimental digital filter structure Experiment 7 IIR digital filter design Experiments eight FIR digital filter design Experiments nine DSP implementation)

2014-12-24 20:45:07下载

积分：1
FR
说明：共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

2017-05-05 10:26:25下载

积分：1

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