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SKMsmo
基于核的学习方法SVM(Support Vector Machine)有很好的分类识别性能，这是在SVM的基础上改进的一个更好的SKM(Support Kernel Machine)Package.(kernel-based learning methods SVM (Support Vector Machine) are good the classification performance, This is the SVM improved on the basis of a better SKM (Support Kernel Machi ne) Package.)
- 2020-09-25 14:37:47下载
- 积分：1
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GrayGradinet
基于MATLAB的批量提取图像的纹理特征，纹理特征提取的方法采用灰度-梯度共生矩阵法。(Extracted texture features based on MATLAB bulk, texture feature extraction method using gray level the- gradient co-occurrence matrix method.)
- 2013-03-20 19:53:10下载
- 积分：1
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bifurcation-control
基于非线性动力学、非线性
控制理论、分岔理论等非线性科学的现代分析方法，对倍周期分岔、Hopf 分岔等
进行控制(Modern analytical methods based on nonlinear dynamics, nonlinear control theory, bifurcation theory and nonlinear science of the period-doubling bifurcation, Hopf bifurcation control)
- 2012-12-04 21:44:18下载
- 积分：1
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daolibai
实现了用于倒立摆建模的TS模糊系统“model.fis"，及用于控制的Ts型模糊控制器“tc.fis"。(Achieve inverted pendulum modeling for TS fuzzy systems " model.fis" , and Ts fuzzy controller for the " tc.fis" .)
- 2014-03-08 10:09:04下载
- 积分：1
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IPD
Simulation for iterated prisoners dilemma
- 2011-06-01 20:20:08下载
- 积分：1
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Bernstein_chebyshev_Lagrange
Bernstein_chebyshev_Lagrange等基函数编写和实现(Bernstein_chebyshev_Lagrange basis functions, such as the preparation and implementation)
- 2013-12-05 10:29:29下载
- 积分：1
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ecg-beat-detection-in-matlab
Ecg beat detection in matlab
- 2014-01-23 17:00:43下载
- 积分：1
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SBM
用于matlab sbm计算的代码，直接替换数据即可(for sbm(dea) in matlab)
- 2021-03-22 13:29:16下载
- 积分：1
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matlab语音信号分析与合成（第2版）程序
这里上传的是：matlab语音信号分析与合成（第2版）程序，希望对大家有用。(Here is uploaded: Matlab voice signal analysis and synthesis (Second Edition) program, I hope to be useful to all of you.)
- 2021-01-30 21:18:38下载
- 积分：1
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hsmm
说明： 隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分：1
