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MDPtoolbox
The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants.
The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France).
The version 2.0 (February 2005) handles sparse matrices and contains an example
- 2021-01-13 09:38:48下载
- 积分：1
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Signal-Integrate
信号完整性分析 及新手入门需要考虑的相关事宜(Getting Started signal integrity analysis and related issues to be considered)
- 2011-02-11 03:05:09下载
- 积分：1
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20071008012
MATLAB模糊神经网络的一些代码，算法。(MATLAB fuzzyNN)
- 2014-11-29 20:53:11下载
- 积分：1
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matlab300
MATLAB 的简单程序，初学MATLAB者可以看看，对学习它的使用方法很有效(MATLAB a simple procedure, MATLAB beginner can look at learning to use it very effective)
- 2008-02-29 21:21:41下载
- 积分：1
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least_square_paramete_solution
控制行业中重要的least square parameter solution，里面使用了一个例子，可以将输入改变然后使用(control of the most important sectors least square parameter solution , which use an example, we can then use the importation of change)
- 2006-10-24 22:53:40下载
- 积分：1
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LS_Matlab65
这是一个利用MATLAB6.5进行航迹跟踪的程序序，采用了最小二线性估计的方法来进行跟踪。(This is a track used for tracking MATLAB6.5 procedures sequence, using a minimum of two linear estimation methods for tracking.)
- 2007-06-01 18:36:34下载
- 积分：1
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function
非线性方程组的牛顿迭代法MATLAB程序(Nonlinear equations of Newton iterative method MATLAB program)
- 2015-01-24 15:57:00下载
- 积分：1
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ksvdbox12
采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造(KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used for the sparse dictionary construction in voice, image signal processing )
- 2009-10-29 09:06:41下载
- 积分：1
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svmMATLAB
说明： matlab里支持向量机工具箱，好用(matlab in Support Vector Machine Toolbox, easy to use)
- 2008-09-17 15:19:17下载
- 积分：1
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2links-Robo
In this paper, an orthogonal functions neural network is used to
achieve the control of nonlinear systems. The adaptive controller is constructed
by using Chebyshev orthogonal polynomials neural network, which has advantages
such as simple structure and fast convergence speed. The adaptive learning
law of orthogonal neural network is derived to guarantee that the adaptive
weight errors and tracking errors are bound by using Lyapunov stability theory.
Simulation results are given for a two-link robot in the end of the paper, and the
control scheme is validated.
- 2014-11-09 15:47:04下载
- 积分：1
