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matlab平台的一些运动估计块匹配算法,包括3步法,新3步法,4步法,菱形搜索等等,motionsEstAnalysis.m——scr ipt to execute all Algorithms
motionEstES.m——Exhaustive Search Algorithm
motionEstTSS.m——Three Step Search Algorithm
motionEstNTSS.m——New Three Step Search Algorithm
motionEstSE
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蒙特卡罗方法可以有效地解决复杂的工程问题,而MATLAB具有强大的数值计算功能。将二者结合使用,可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。
-Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, c
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蒙特卡罗方法可以有效地解决复杂的工程问题,而MATLAB具有强大的数值计算功能。将二者结合使用,可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。
-Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, c
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本文在传统分布式功率控制算法的基础上,考虑到代价函数的非负性,且存在一个正的最小值的特性,采用用户发射功率和信干比来定义用户的代价函数,引用了一种基于代价函数的功率控制算法。最后,本文利用MATLAB工具对该算法进行了仿真分析,验证了算法的有效性-Based on the traditional distributed power control algorithm based on, taking into account the non-negative Daijia function, a
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is matlab source code to optimize some cost function
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Coding for COA_High Precision_high convergence
***Cuckoo Optimization Algorithm***
* Matlab Toolbox Ver. 1.0.1
* programmed by:
"Ramin Rajabioun, 2011"
This code minimizes your cost function,
so don t change any part of your code.
-C
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Cuckoo Optimization Algorithm for ANN cost
*** Cuckoo Optimization Algorithm ***
* Matlab Toolbox Ver. 1.0.1
* Programmed by:
" Ramin Rajabioun, 2011 "
+ This code minimizes your cost function, so don t change any part of your code.
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lingjian.m-----蒙特卡罗方法
lingjian.m使用零件初始值,用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。
accyouhua为标定值的函数,而lingjian不是一个函数,在其中已给出了一组标定值的值。
退火确定标定值/unitanneal()----模拟退火
连续型多个变量组合优化问题
这是对模拟退火方法的一次练习,结果证明模拟退火确实是一
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This a PSO toolbox implementing Common, Clerc 1", and
Trelea types along with an alpha version of tracking changing
environments. It can search for min, max, or distance of
user developed cost function. Very easy to use and hack with
re
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Coding for COA_High Precision_high convergence ***Cuckoo Optimization Algorithm*** * Matlab Toolbox Ver. 1.0.1 * programmed by: "Ramin Rajabioun, 2011" This code minimizes your cost function, so don t change any part of your code.
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Amari形式的时域盲连续(BSU)和有限微分修正(FD)的matlab程序[
【直接给予Bussgang特性的代价函数】Bussgang特性存在收敛,在频域使用Bussgang特性构成代价函数
约定:源信号必须是零均值的,对称分布,有限方差和独立同分布-The existence of convergence Amari form a continuous time-domain blind (BSU) and limited differential correction (
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The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
id
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this source code written by matlab. Under machine learning feild. Get the data and calcuklate the cost function then regulize them. After that, plot them.
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机器学习相关内容,基于matlab仿真,实现了线性回归分类器的功能-Files included in this exercise
ex1.m- Octave scr ipt that will help step you through the exercise
ex1 multi.m- Octave scr ipt for the later parts of the exercise
ex1data1.txt- Dataset for linear regression wit
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线性感知机,机器学习相关,基于matlab仿真-Files included in this exercise
ex1.m- Octave scr ipt that will help step you through the exercise
ex1 multi.m- Octave scr ipt for the later parts of the exercise
ex1data1.txt- Dataset for linear regression with one vari
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逻辑回归,机器学习相关内容,内有说明,基于matlab仿真-ex2.m- Octave scr ipt that will help step you through the exercise
ex2 reg.m- Octave scr ipt for the later parts of the exercise
ex2data1.txt- Training set for the rst half of the exercise
ex2data2.txt- Training s
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多分类学习及神经网络,机器学习相关,基于matlab计算-ex3.m- Octave scr ipt that will help step you through part 1
ex3 nn.m- Octave scr ipt that will help step you through part 2
ex3data1.mat- Training set of hand-written digits
ex3weights.mat- Initial weights for the
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神经网络学习,基于matlab仿真,机器学习相关知识-ex4.m- Octave scr ipt that will help step you through the exercise
ex4data1.mat- Training set of hand-written digits
ex4weights.mat- Neural network parameters for exercise 4
submit.m- Submission scr ipt that sends you
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pso粒子群算法
他是一个实现Common,Clerc 1“的PSO工具箱
Trelea类型以及跟踪更改的alpha版本环境。 它可以搜索最小,最大或“距离”
用户开发成本函数。 很容易使用和黑客
相当好的文档(类型帮助任何功能和
它应该告诉你你需要什么),并将利用
矢量化成本函数。 它使用与Matlab类似的语法
优化工具箱。 包括静态和动态的套件测试功能。 它还包括一个专用的基于PSO的神经元网络教练与Mathwork的神经网络工具箱一起使用。-his is a
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比如每个企业和个人都要考虑的一个问题“在一定成本下,如何使利润最大化”等。最优化方法是一种数学方法,它是研究在给定约束之下如何寻求某些因素(的量),以使某一(或某些)指标达到最优的一些学科的总称。随着学习的深入,博主越来越发现最优化方法的重要性,学习和工作中遇到的大多问题都可以建模成一种最优化模型进行求解,比如我们现在学习的机器学习算法,大部分的机器学习算法的本质都是建立优化模型,通过最优化方法对目标函数(或损失函数)进行优化,从而训练出最好的模型。常见的最优化方法有梯度下降法、牛顿法和拟牛顿法
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