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ELM
说明: 基于matlab的极速学习机ELM的分类和回归算法(The speed of learning machine based on matlab classification and regression algorithm ELM)
- 2011-03-28 12:37:01下载
- 积分:1
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8-words-circling-the-car
小车的8字绕环,小车的机械结构设计相关尺寸计算,运用MATLAB计算(8 words circling the car, the car' s mechanical design calculations relevant dimensions, calculated using MATLAB)
- 2013-08-16 10:57:06下载
- 积分:1
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fiberfwm
基于HNLF的全光逻辑与门主程序,光纤中的四波混频过程的matlab数值模拟仿真代码。(HNLF-based all-optical logic gates main program, fiber four-wave mixing process matlab numerical simulation codes.)
- 2020-07-10 16:18:55下载
- 积分:1
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干扰仿真
射频噪声干扰,噪声调频干扰,噪声调幅干扰模式的仿真以及SAR成像的仿真实现(several jammming modes simulation;
SAR imaging)
- 2021-01-30 21:08:33下载
- 积分:1
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ADMtoDMGimP
求双矩阵博弈的Nash平衡点,可以避免产生死循环。(Demand pairs of the Nash equilibrium point bimatrix game, can minimize the infinite loop.)
- 2009-10-25 14:29:20下载
- 积分:1
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SPBS
static partial buffer sharing code (SPBS QUEUE)
- 2012-06-02 07:44:28下载
- 积分:1
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matlabshouce
这是一篇介绍matlab函数使用手册的文章,通过它可以快速查找函数的功能等。(This is a matlab function to introduce the use of manual article, which can quickly find the function function.)
- 2009-04-14 11:04:03下载
- 积分:1
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qq
说明: 一篇很好的奇异值分解的论文 是针对数字图像的(A singular value decomposition of a good thesis for digital images)
- 2009-11-27 09:39:36下载
- 积分:1
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2-D-FDTD-TM-mode-with-PML
This code shows in a simple way the implementation of 2 dimention finite difference time domain simulation. We also implement perfectly match layer at the border.
- 2013-02-19 14:29:24下载
- 积分:1
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RVM_matlabToolBox
相关向量机(RVM)的matlab源程序,包含快速算法,内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。 优点: (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
- 2013-11-21 11:05:48下载
- 积分:1