OPTIMIZATION
共 231 篇文章
OPTIMIZATION 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 231 篇文章，持续更新中。
Sequential Minimal Optimization- A Fast Algorithm for Training Support Vector Machines
Sequential Minimal Optimization- A Fast Algorithm for Training Support Vector Machines
We propose a technique that allows a person to design a new photograph with substantially less effo
We propose a technique that allows a person to design a new photograph
with substantially less effort. This paper presents a method that generates a composite image when a user types
in nouns, such
【书名】 Convex Optimization 【作者】Stephen Boyd Lieven Vandenberghe 最优化理论与算法是一个重要的数学分支
【书名】 Convex Optimization
【作者】Stephen Boyd Lieven Vandenberghe
最优化理论与算法是一个重要的数学分支，它所研究的问题是在众多的方案中什么样的方案最优以及怎样找出最优方案。
本书详细的介绍了凸优化的理论，应用和算法，是一本在解决最优化问题时很好的工具书。
采用蚁群算法检测图像边缘 This a demo program of image edge detection using ant colony, based on the paper, "An
采用蚁群算法检测图像边缘
This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computati
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood form
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BF
小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_tes
小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonl
COOOL：CWP面向对象最优化库（CWP Object Oriented Optimization Library） COOOL是C++类的一个集合
COOOL：CWP面向对象最优化库（CWP Object Oriented Optimization Library）
COOOL是C++类的一个集合，使用这些类可实现许多最优化算法，还包含一个测试函数集合，可用于评估新的最优化算法。
蚁群算法相关资料及代码
<span style="color:#CC0000;font-family:arial, 'pingfang sc', stheiti, simsun, sans-serif;font-size:13px;line-height:20px;white-space:normal;background-color:#FFFFFF;">蚁群算法</span><span style="color:#33
A Micro-Genetic Algorithm for Multiobjective Optimization developed by Gregorio Toscano Pulido .
A Micro-Genetic Algorithm for Multiobjective Optimization developed by Gregorio Toscano Pulido .
Matlab_2016a 完整破解版网盘高速下载
<p> Matlab_2016a 完整破解版下载</p><p> 使用增强的设计环境和 UI 组件集开发 MATLAB 应用。<br />深度学习用于图像分类问题。<br />访问模板、最新模型以及精选示例。<br />创建包含事件操作和新模块的离散事件模型和调度程序。<br />使用标准座舱仪器显示飞行条件。<br />在线编辑器，用于：<br />开发包含结果和图形以及相关代码的实时脚本<br
ONE-DIMENSIONAL_OPTIMIZATION,主要用于最优化方法的设计以及最优化问题的求解
ONE-DIMENSIONAL_OPTIMIZATION,主要用于最优化方法的设计以及最优化问题的求解
PSO多目标寻优
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evolution computing 现在最火的一篇论文
</p>
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Handling Multiple Objectives With Particle Swarm Optimization
</p>
PXA27x Processor Family Optimization Guide
PXA27x Processor Family Optimization Guide
GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to so
GloptiPoly 3: moments, optimization and
semidefinite programming.
Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of
Moments (GPM), an infinite-dimensional opt
DAKOTA
Computational models are commonly used in engineering design and scientific discovery activities for simulating<br />
complex physical systems in disciplines such as fluid mechanics, structural dynami
A dissipative particle swarm optimization is developed according to the self-organization of dissip
A dissipative particle swarm optimization is
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system tha
Curve Fitting Toolbox,Excel Link,Financial Toolbox,Financial Time Series Toolbox,Optimization Toolbo
Curve Fitting Toolbox,Excel Link,Financial Toolbox,Financial Time Series Toolbox,Optimization Toolbox
isight参数优化理论与实例详解
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为工程优化技术的优秀代表，<span lang="EN-US">Isight 5.5</span>软件由法国<span lang="EN-US">Dassault/Simulia</span>公司出品，能够帮助设计人员、仿真人员完成从简单的零部件参数分析到复杂系统多学科设计优化（<span lang="E
Optimization Modelling A Practical Approach
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Optimization<br />
Modelling<br />
A Practical Approach
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Ruhul A. Sarker<br />
Charles S. Newton
</p>
Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optim
Traveling Salesman Problem (TSP) has been an interesting problem for a long
time in classical optimization techniques which are based on linear and nonlinear
programming. TSP can be described as fol