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与遗传算法混合的模拟退火算法的应用,已封装,可以使用.-mixed with genetic algorithm simulated annealing applications, encapsulation, can be used.
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通过模拟退火的HOPFIELD神经网络求解TSP问题,HOPFIELD through simulated annealing neural network for solving the TSP problem
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用MATLAB编写的模拟退后程序,为通用模板,下载后修改即可使用。-Using MATLAB simulation back to prepare procedures for the generic template, modified to use after downloading.
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传统的模拟退火法效果不怎么好,现在发展各类的退火法,如果你想改善退火效果,必须的利用各类退火算法的特点,这边的是自适应退火法-Traditional simulated annealing little effect, and now the development of various types of annealing, if you want to improve the annealing effect, we must use all kinds of annealing algor
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本软件包包括四个程序,主要用于图像处理(图像去噪,图像分割)和模拟退火算法。-This package includes four procedures, mainly used for image processing (image denoising, image segmentation) and simulated annealing algorithm.
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简单实用的模拟退火算法(SB/SW) 提供一个对理解模拟退火算法很好的程序示例-Simple and practical simulated annealing algorithm (SB/SW)
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人工神经网络中经典模拟退火算法的实现,在VC下可运行-Simulated annealing algorithm
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模拟退火算法及禁忌搜索算法解tsp的比较,文章及matalb源码-Simulated annealing algorithm and tabu search algorithm for solving tsp comparison, articles and matalb source
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模拟退火算法解决TSP问题,用固体退火模拟组合优化问题,将内能E模拟为目标函数值f,温度T演化成控制参数t,即得到解组合优化问题的模拟退火算法:由初始解i和控制参数初值t开始,对当前解重复“产生新解→计算目标函数差→接受或舍弃”的迭代,并逐步衰减t值,算法终止时的当前解即为所得近似最优解-Simulated annealing algorithm to solve the TSP problem, combined with solid-annealing simulation optimiza
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自己编写的电路分析,优化程序,可求解电路响应,计算元件灵敏度,优化方法包括Powell法,模拟退火法,可部分实现滤波器设计的功能-I have written the circuit analysis, optimization procedures, can solve the circuit response, computing components sensitivity, and optimization methods including Powell method, simulat
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这是模拟退火算法,用于解决换热器网络出口温度达到最大值的问题-This is a simulated annealing algorithm used to solve the heat exchanger outlet temperature to achieve maximum network problems
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使用模拟退火算法解决旅行商问题,输入为城市之间距离的描述,输出为城市之间的路径-The use of simulated annealing algorithm to solve the traveling salesman problem, enter a descr iption of the distance between cities, the output path between cities
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本文介绍了模拟退火算法的原理和求解方法,并将其用于指数曲线的拟合,在Matlab语言环境下实现了该算法,并且与文献中的遗传算法、线性回归相比较。数值模拟结果表明,该算法能更好地实现最优拟合。-This article describes the principle of simulated annealing algorithm and solution methods, and used an exponential curve fitting, the language environmen
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Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used whe
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本程序为C++编写的TSP经典问题的模拟退火算法-C++ code for TSP in simulated annealing
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内容包括:人工神经网络简介、单层前向网络及LMS学习算法、多层前向网络及BP学习算法、支持向录机及其学习算法、Hopfield
神经网络,随机神经网络及模拟退火算法、竟争神经网络和协同神纤网络。每章均给出了基于MATLAB的仿真实例以及练习。
-Contents include: Introduction to artificial neural networks, single-layer feedforward network and the LMS learning algorit
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模拟退火源码,用于解决优化问题的一种启发式算法,理论上是一个全局最优算法。
-Simulated annealing source code for solving optimization problems in a heuristic algorithm, in theory, is a global optimal algorithm.
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运用模拟退火法解决TSP问题,程序比较清晰,适合初学者借鉴-TSP using simulated annealing method to solve the problem, the program is relatively clear, suitable for beginners to learn
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Simulated Annealing - Solving the Travellin
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利用MATLAB实现模拟退火算法的在各实际情况中的应用(The application of simulated annealing algorithm.)
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