-
MATLAB2013-teaching-material
MATLAB2013超强教程，一本教程学会Matlab2013(Matlab 2013 teaching material)
- 2014-11-05 09:02:55下载
- 积分：1
-
buildSS
Builds a scale space to contain the sift features generated by a number of object images that were scale-normalized.
- 2012-11-25 20:42:16下载
- 积分：1
-
GAaaADRC
采用遗传算法优化自抗扰控制器的参数，简化了调节参数的难度(Genetic algorithm was used ADRC parameters, simplifying the adjustment parameters of difficulty)
- 2015-12-16 10:51:58下载
- 积分：1
-
pui_fu72
利用贝叶斯原理估计混合logit模型的参数，DSmT证据推理的组合公式计算函数，相参脉冲串复调制信号。( Bayesian parameter estimation principle mixed logit model, Combination formula DSmT evidence reasoning calculation function, Complex modulation coherent pulse train signal.)
- 2017-04-02 17:19:56下载
- 积分：1
-
chaper3
非常不错的书籍，《微粒群算法》供8章和2个附录，依次上传第3章绪论(Very good books, Particle Swarm Optimization for 8 chapters and two appendices, followed by From Chapter 3 Introduction)
- 2008-12-20 11:36:43下载
- 积分：1
-
41695081Matlab_Image_Processing
Matlab在图像处理与目标识别方面的应用实验，3个数字图像处理作业，车牌识别，边缘检测，包括实验数据代码以及报告，matlab实现(Matlab image processing and target recognition in the application of experimental)
- 2011-04-25 21:16:18下载
- 积分：1
-
Signal
Finding the Peaks in ECG and PPG using the turning point algorithm
- 2021-03-22 15:09:16下载
- 积分：1
-
GA
说明： 对人工智能中的遗传过程采用历史包含度分析的方法的仿真程序，对确定支持域中的变量进行了相关性选择，然后进行了在一定支持向量确定度下的遗传分析。(On artificial intelligence in the genetic process of the historical analysis of the methods include simulation program, the variables in determining support for the relevant domain of choice, and then determine in a certain degree of support vector under the genetic analysis.)
- 2010-07-15 23:10:33下载
- 积分：1
-
DSP_matlab
关于用matlab软件进行信号处理的基础使用方法和简单实例(On the use of matlab software signal processing methods and the basis for the use of simple examples)
- 2007-11-14 14:06:34下载
- 积分：1
-
Midacomo
MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)
- 2016-02-27 15:27:00下载
- 积分：1
