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Bayes-Matlab
基于最小错误率，和最小风险的Bayes分类器Matlab
实现 (Bayes Matlab)
- 2009-05-18 10:43:49下载
- 积分：1
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single_tree
三维空间中产生一棵树，并划分成voxel，每个叶片都占据一个voxel的大小。(Three-dimensional space to produce a tree, and is divided into voxel each leaf occupies the size of a voxel.)
- 2012-06-29 21:14:07下载
- 积分：1
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matlab
说明： 关于码matlab的介绍，对于初学者来说能够很快了解matlab。(On the introduction of matlab code, for beginners to quickly understand the matlab.)
- 2008-10-28 22:17:11下载
- 积分：1
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Bartlett
本方案采用了Bartlett法的ARMA过程的谱估计，可以对以上模型分析(The program uses the Bartlett method of ARMA spectral estimation process, the above model can be)
- 2011-05-24 00:34:03下载
- 积分：1
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matlab-intelligent-algorithm-30-case
MATLAB智能算法30个案例分析的源代码，都是当下比较常用的代码 啊啊啊啊啊(MATLAB intelligent algorithm 30 case analysis of the source code, are more commonly used code moment ah ah ah ah ah)
- 2013-11-05 14:42:30下载
- 积分：1
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LAMMPS-Manual
分子动力学计算软件lammps的学习资料。(Molecular dynamics calculation software lammps learning materials.)
- 2013-12-09 12:49:01下载
- 积分：1
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Quantizer
It s a simulation for Quantizer - I ve done it during the Digital Communication Lab.
- 2013-05-19 00:10:20下载
- 积分：1
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ZDT4
为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)
- 2007-11-08 01:43:25下载
- 积分：1
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dianlufangzhen
电路 信号系统仿真的源码 基于multisim10.0(Signal System Simulation multisim10.0 based on the source)
- 2009-05-25 12:12:37下载
- 积分：1
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One-dimensional-extremum-problem
说明： 第6章 无约束一维极值问题
所在章节 函数名 功 能
6.1 minJT 用进退法求解一维函数的极值区间
6.2 minHJ 用黄金分割法求解一维函数的极值
6.3 minFBNQ 用斐波那契法求解一维函数的极值
6.4 minNewton 用牛顿法求解一维函数的极值
6.5 minGX 用割线法求解一维函数的极值
6.6 minPWX 用抛物线法求解一维函数的极值
6.7 minTri 用三次插值法求解一维函数的极值
6.8.1 minGS 用Goldstein法求解一维函数的极值
6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值
(Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)
- 2011-04-12 15:51:56下载
- 积分：1
