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khatayesistematikmokhatasat

于 2014-10-26 发布 文件大小:1KB
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  photogerametry project systematic errors

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  • ASPID(1)
    说明:  很好的源码,蚁群算法解决PID,值得一看(A good source, ant colony algorithm to solve PID, worth a visit)
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  • OOFDMZhouMinn
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    2011-12-02 10:49:09下载
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    五对角线性方程组的追赶法求解,同样适用于三对角(Five diagonal equations to catch up method to solve)
    2016-05-02 11:35:40下载
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  • goufeng_v73
    供做算法研究人员参考,表示出两帧图像间各个像素点的相对情况,包括最后计算压缩图像的峰值信噪比和压缩效果的源码。( Algorithm for researchers to do reference, Between two images showing the relative circumstances of each pixel, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.)
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    粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation),有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练,模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)
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