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这是我在matlab环境下编写的产生随机数的源程序,包括产生均匀分布和正态分布,参数接口十分灵活。-in Matlab environment prepared by the random numbers generated by the source code, including the Uniform Distribution and normal distribution, parameter interface is very flexible.
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monte carlo算法的matlab实现,该算法也就是常说的粒子滤波器。-monte carlo algorithms Matlab realize that the algorithm is often said that the particulate filter.
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the book <<Simulation and Monte Carlo With applications in finance and MCMC >> about MONte carlo method applying to finance problem and markov chain and markov decision process.
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模拟退火算法是基于蒙特卡罗迭代求解法的一种启发式随机搜索过程。本文给出了该算法的详细介绍和伪代码。-Monte-Carlo simulated annealing algorithm is based on a heuristic iterative method for solving stochastic search process. This paper gives a detailed descr iption of the algorithm and pseudo code.
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蒙特卡罗(Monte Carlo)方法,又称计算机随机模拟方法,是一种基于"随机数"的计算方法。这一方法源于美国在第二次世界大战研制原子弹的曼哈顿计划。该计划的主持人之一数学家冯诺伊曼用驰名世界的赌城-摩纳哥的Monte Carlo来命名这种方法。-Monte Carlo (Monte Carlo) methods, also known as computer-generated random simulation method is based on " random number&
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神经网络,人工智能,蒙特卡洛算法,matlab源代码-Neural networks, artificial intelligence, the Monte Carlo algorithm, matlab source 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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Floyd算法,概率算法,类比法,蒙特卡洛,神经网络,贪婪算法,模拟退火算法,灰色预测,遗传算法等(Floyd algorithm, probability algorithm, analogy method, Monte Carlo, neural network, greedy algorithm, simulated annealing algorithm, grey prediction, genetic algorithm, etc.)
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马尔科夫链蒙特卡洛算法简单实例,模式识别,参数识别(mcmc,bayesian,Based on markov chain monte carlo method is implemented in the matlab program)
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