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Nearestneighbor
模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码(
Nearest neighbor algorithm for pattern recognition problem of matlab to achieve, can simulate the nearest neighbor method to achieve the core of the code is a good)
- 2009-06-30 22:20:15下载
- 积分：1
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matlab-knowledge
说明： matlab的基本例题的知识内容，一些常见的编程都包含，请参考(matlab basic example of the intellectual content of some common programming are included, please refer to)
- 2011-02-25 22:28:32下载
- 积分：1
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脱靶量同目标机动性能之间的关系
以比例导引制导律为基础，用matlab语言描写了脱靶量同目标机动性能之间的关系(In order to proportional navigation guidance law as the foundation, the relationship between miss distance with the target maneuver performance are described using MATLAB language)
- 2013-05-04 16:00:50下载
- 积分：1
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n_queen
N-Queen implementation in Matlab
- 2009-11-16 01:13:07下载
- 积分：1
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PhysioNet_ECG_Exporter
将mit/db心电数据库中的心电数据的数据转存为.mat格式的文件(The mit/db ECG ECG data in a database data dump to. Mat format)
- 2010-11-03 15:25:05下载
- 积分：1
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Kalman_Est
这是用Matlab编写的卡拉曼滤波程序，用于PPP精密单点定位。(It is written with Matlab Karaman filtering process, precise point positioning for the PPP.)
- 2011-05-01 16:47:30下载
- 积分：1
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mangning
相参脉冲串复调制信号，包括随机梯度算法，相对梯度算法，ldpc码的编解码实现。( Complex modulation coherent pulse train signal, Including stochastic gradient algorithm, the relative gradient algorithm, Codec ldpc code implementatio.)
- 2021-01-08 22:48:51下载
- 积分：1
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Papers
电子稳像综述，阐述电子稳像的发展过程和主要理论、方法等。(Overview of electronic image stabilization to explain the development process of electronic image stabilization and the main theories, methods.)
- 2009-11-28 12:01:42下载
- 积分：1
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4阶经典Runge-Kutta格式解常微分方程 numerical-simulation
4阶经典Runge-Kutta格式解常微分方程,Romberg(龙贝格）法求函数的积分,三阶样条插值（一阶导数边界条件）,定步长梯形法求函数的积分,矩阵A的伴随矩阵, Lagrange插值法数值求解,Newton迭代法解非线性方程f(x)=0(Fourth-order Runge-Kutta classic format solution of ordinary differential equations, Romberg (Romberg) method for function points, third-order spline interpolation (first derivative boundary conditions), fixed-step trapezoidal method for integrating functions, matrix A adjoint matrix, Lagrange interpolation method for numerical solution, Newton iterative method for solving nonlinear equations f (x) = 0)
- 2014-05-14 18:25:03下载
- 积分：1
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WindyGridWorldQLearning
Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian
domains. It amounts to an incremental method for dynamic programming which imposes limited computational
demands. It works by successively improving its evaluations of the quality of particular actions at particular states.
This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins
(1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions
are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions
to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed
each iteration, rather than just one.
- 2013-04-19 14:23:35下载
- 积分：1
