mirtest

n-queens implementation in MATLAB

a new optimization algorithm ,,,, really helpful

粗糙集工具箱 可以进行粗糙集上下近似集的计算，重要度等等 属性约简 决策分类等等(Toolbox rough sets rough sets can calculate the upper and lower approximations, importance, etc., etc. Classification Decision Attribute Reduction)

深度有向寻圈。访问当前某个顶点的后继，再访问后继的某个子顶点，若没有，返回上一层访问其他后继(Depth of the search circle. The current follow-up visit to a vertex, then visit a subsequent sub-vertex, if not, return to the level of other follow-up visit)

计算模糊熵，可用于生理信号的变异性分析。本算法降低了个体差异，更易于检测生理状态引起的复杂度改变。(Calculating the fuzzy entropy can be used for variability analysis of physiological signals. The algorithm reduces the individual differences easier to detect changes in the physiological state of the complexity caused.)

C-C算法的Matlab程序(3000 数据耗时2分钟)混沌与分形(MATLAB)

一个关于PRONY算法,自编写，含有例子，可能不太完善(an example of prony)

传统随机共振系统，移频随机共振系统，移频-变尺度随机共振系统，柔性随机共振系统(Traditional stochastic resonance systems, stochastic resonance frequency shift, frequency shift- variable scale stochastic resonance systems, a flexible system of stochastic resonance)

开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)

plot function maximum and minimum matlab