搜索资源列表
monituihuoTSP
- 模拟退火实现了Tsp问题。有图形化界面。-TSP
samatlab
- 模拟退火算法MATALAB源程序 此题以中国31省会城市的最短旅行路径为例，给出TSP问题的模拟退火程序-Simulated annealing algorithm MATALAB source of this problem of China' s 31 provincial capital cities of the shortest path of travel as an example, simulated annealing procedures for TSP problem
fire
- 采用模拟退火算法解决旅行商问题，对于20城市以下的数据规模较好-Simulated annealing algorithm to solve the traveling salesman problem, the following data for 20 cities the size of a good
SAAforTSP
- 模拟退火算法解决TSP的程序原文档-Simulated annealing algorithm to solve the TSP program of the original document
SA
- 介绍模拟退火算法的经典资料，最后附了一些经典的例子-Describes the classic simulated annealing algorithm information, finally attached to a number of classic examples of
Matlab
- 一个基于模拟退火的多主体模型及其应用推导了MIMO系统信道容量的表达-This paper educes the expression of the MIMO channel capacity, and analysis how MIMO system improves the channel capacity
JSP(SA)
- 人工智能作业，用模拟退火算法实现的JSP问题。-Artificial intelligence, operations, using simulated annealing algorithm for JSP problem.
TheApplicationofSimulatedAnnealing
- 模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。-Annealing simulated annealing algorithm derived from the solid principle of heating the solid to fully high, let the slowly cooling, heating, the so
zdf
- 三维装箱问题的混合模拟退火算法，解决np-hard问题的基本思路-Three-dimensional bin-packing problem of the hybrid simulated annealing algorithm, np-hard problem to solve the basic ideas
BP
- 模拟退火法优化BP网络，效果不错，不过是版本比较低了-Simulated annealing optimization of BP network, the effect is good, but is a version of the relatively lower
SAMATLAB
- SA是源于对固体退火过程的直接简单模拟而建立的一种通用的额随机搜索技术。它能以100 的概率收敛于全局最优解，
SA_TSP
- 自己编写的模拟退火matlab程序，在已有程序上的改进。-I have written matlab simulated annealing process, the existing procedural improvements.
tuihuosuanfa
- 在Visual C++ 编译环境下，模拟退火算法程序，并利用它们求解了48个城市的TSP问题。-In the Visual C++ compiler environment, the simulated annealing process, and use them to solve a 48 cities TSP problem.
monituihuo
- 模拟退火算法也许用的人真的很少，但在数学建模的快速收敛中确实用处很大。-math contest
TimeSeriesPredictionUsingSupportVectorRegressionNe
- 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生 成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很 好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的 理论和应用价值。-Ab
SATSP
- 人工智能/神经网络，用模拟退火算法求解TSP寻求最优路径问题-AI/neural networks, simulated annealing algorithm for finding the optimal TSP path problem
inageregister1
- 本程序主要讲了运用模拟退火法完成图像的边缘提取，通过修改参数达到最佳，-This program mainly talked about the use of simulated annealing method to complete the image edge extraction, by modifying the parameters to achieve the best,
inversion
- 核磁共振地下水探测反演软件,模拟退火法,最小二乘法-MRI detection of groundwater inversion software, simulated annealing method, least-squares method
k-means
- k-means算法实现WEB搜索，用模拟退火，对K-means聚类算法进行数据挖掘-k-means algorithm WEB search
matlabsatools
- MatLAB的模拟退火算法工具箱。 MatLAB的模拟退火算法工具箱。-MatLAB simulated annealing algorithm toolbox. MatLAB simulated annealing algorithm toolbox. MatLAB simulated annealing algorithm toolbox.