一个布局问题的优化算法matlab例程

LSVM Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.

判断输入的式子是否为合适公式，如果是则输出其真值表(The appropriate formula to determine its truth table)

Practical Matlab experiment for Series Resonamce

nested polynomial uation method using matlab

建立基本的RBF神经网络，之后用灰色关联度进行判断神经元的活跃性，活跃的神经元进行分解，不活跃的删除，从而进行神经网络结构的自组织。之后用梯度法进行调节参数。

7.5 积分一步的变步长龙格-库塔法grkt2.c 7.6 积分一步的变步长基尔法ggil1.c 7.7 全区间积分的变步长基尔法ggil2.c 7.8 全区间积分的变步长默森法gmrsn.c 7.9 积分一步的连分式法gpbs1.c 7.10 全区间积分的连分式法gpbs2.c(7.5 Integral-step variable step-queue grid- Kutta method grkt2.c 7.6 Integral variable step by step Kiel France ggil1.c 7.7 points between the region variable step-size Kiel France ggil2.c 7.8 points between the region variable step-size Merson method gmrsn.c 7.9 integral step in continued fractions method gpbs1.c 7.10 points between the region' s continued fractions method gpbs2.c)

说明：  关于控制系统分析及应用在matlab软件中编程，此书有很大的参考价值(Application on the control system analysis and programming in matlab software, book has great reference value)

分形维数计算的毯子算法matlab代码,使用混沌与分形分析的例程，通过反复训练模板能有较高的识别率，包括主成分分析、因子分析、贝叶斯分析，空间目标识别，采用PM算法，正确率可以达到98％。

利用matlab模拟的语音识别系统，读取wav文件进行信号处理~~~(Matlab simulation of the use of voice recognition systems, to read wav files Signal Processing ~ ~ ~)

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.