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HAM

于 2011-11-24 发布 文件大小:1KB
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  Ham for dnoosing excelent resuls will be obtained from this

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  • matlab1
    这个是很多三位重组的 例子啊 希望大家能削下 (This is a lot of examples of the three re-cut under the hope that we can ah)
    2011-05-17 15:35:24下载
    积分:1
  • Genetic-Algorithm2
    实数编码和二进制编码的遗传算法程序,程序结构清晰,易懂,是学习遗传算法很好的例子。(Real number coding and binary coded genetic algorithm program, the program structure is clear, and easy to understand, is to study the genetic algorithm is a good example.)
    2016-05-02 19:29:35下载
    积分:1
  • gongzhensnr5
    产生随机共振现象的输入输出信噪比曲线,参数可以修改,不过不要乱改动哦,不然振动不起来了。(Stochastic resonance phenomenon generated input and output signal to noise ratio curve.)
    2009-03-09 17:05:31下载
    积分:1
  • System-Identification
    三本书都是系统辨识方面的,其中两本非常出色为经典之作,另一本为matlab的最新的应用说明(2013b)(Three books are aspects of system identification, including two very good as the classic, the other being the matlab latest application notes (2013b))
    2014-01-07 21:58:46下载
    积分:1
  • Frequency_Domain
    数字信号频域处理的matlab源程序,包括dct,butterworth,lowpass等(Frequency-domain digital signal processing matlab source, including dct, butterworth, lowpass, etc.)
    2014-02-17 00:36:02下载
    积分:1
  • KalmanFilteringTheoryAndPracticeUsingMatlab
    卡尔曼滤波器设计准则及其matlab实现(Kalman filter design criteria and implementation matlab)
    2010-06-02 11:12:11下载
    积分:1
  • xinxianquzao
    matlab源程序 非常有用的去噪程序。。。希望大家收藏……非常有用(the program of matlab)
    2012-05-04 19:32:36下载
    积分:1
  • matlab_branchbound
    分枝定界法的程序,是一种在问题的解空间树上搜索问题的解的方法。(Procedures of the branch and bound method, a solution space tree search solution.)
    2012-07-13 09:36:24下载
    积分:1
  • ICPSO_TSP
    说明:  免疫克隆算法求TSP问题,人工免疫具有分布式、自学习、自适应、自组织和鲁棒性等特点,具有强大的信息处理和问题求解能力。免疫克隆选择算法是一种受生物免疫系统克隆选择原理启发而设计的新型智能优化算法。它结合了问题的先验知识和生物免疫系统的自适应能力,因而在信息处理方面具有较强的鲁棒性,在搜索过程中能更好地收敛到全局最优解。(Immune clone algorithm for TSP)
    2020-04-05 23:44:27下载
    积分:1
  • GMM-GMR-v1.2
    GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.
    2009-12-02 11:32:00下载
    积分:1
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