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mathmodel
数学建模，优化计算，以及模型实例， funtool - 函数计算器
tutdemo - MATLAB优化教程
mathmodl - 工具箱演示
(Modeling)
- 2009-11-12 09:54:24下载
- 积分：1
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ANUPAM
this code of matlab..and this is done by me...in guru ghasif
- 2013-10-01 17:50:48下载
- 积分：1
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Desktop
说明： 随机切换系统稳定性和利用matlab线性矩阵不等式工具箱求可行解(Stability of stochastic switched systems using MATLAB LMI toolbox to find feasible solutions)
- 2020-11-02 17:34:55下载
- 积分：1
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yasuo
一种新的基于matlab环境的用SVD原理实现图像压缩的源程序，程序简单易懂(Implementation of new image compression using SVD, the program easy to understand)
- 2009-04-04 20:14:38下载
- 积分：1
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Reordering
说明： 高压缩比信号的重构问题，压缩感知理论相关(Reordering for Better Compressibility Efficient)
- 2011-04-06 09:22:43下载
- 积分：1
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jiaotongl
历史交通流预测，采用matlab编程，预测效果很好(Historical traffic flow forecasting, using matlab programming, forecasting good results)
- 2013-09-16 16:45:17下载
- 积分：1
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最小二乘支持向量机lssvm
用于lssvm（最小二乘支持向量机）的单序列拟合预测一个周期（12期）(Used in the LSSVM (least squares support vector machine) fitting to predict a single sequence cycle (12))
- 2016-12-17 16:30:55下载
- 积分：1
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phase-Features-m-files
to gain access i have to type at least 20 words. better be useful. am i there yet.
- 2013-02-11 21:53:52下载
- 积分：1
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The-LSI-text-classification-model
LSI就是这样一种维数约减方法。它可以通过对“文档向量矩阵”进行解奇异值分解（SVD: Singular Value Decomposition）运算，自动计算得到一个比原始空间小得多的有效语义空间(LSI is such a dimensionality reduction method. It can be through the "document vector matrix" for the singular value decomposition (SVD: Singular Value Decomposition) operation, automatically calculated an effective semantic space is much smaller than the original space)
- 2014-01-10 22:58:11下载
- 积分：1
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HMM-based-valuation-model
给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)
- 2015-05-22 04:03:23下载
- 积分：1
