programs

this directory consist of simplify fuzzy artmap network m filse

： 针对粒子群优化算法易陷入局部极值的缺点， 提 出一种改进粒子群算法， 该算法借鉴贪婪算法的思想初始化种群， 利用两 个种群同时寻优， 并将遗传算法中交叉和变异操作引入其 中， 实现种群间的信息共享。(I n a l l u s i o n t o p a r t i c l e s wa r m o p t i mi z a t i o n b ei n g pr on e t o g e t i n t o l oc a l mi n i mu m， a n i mpr o v e d p a r t i c l e s wa r m o pt i mi z a t i o n a l g o r it h m i s p r o po s e d． Th e a l g o r it hm dr a ws o n t h e t hi n ki ng o f t he g r e e d y a l g o r it hm t o i n i t i a l i z e t he pa r t i c l e s wa l- n 1 ． Two s wa r ms a r e u s e d t o o pt i mi z e s y nc h r o no u s l y， a nd c r o s s o v e r a n d mu t a t i o n o p er a t o r s i n g e n e t i c a lg o r i t h m a r e i n t r o d uc e d i n t o t h e ne w a l g o r it h m t o r e a l i z e t h e s ha r i ng o f i n f o r m a t i o n a mo ng s wa r l T i S ．)

matrix pencil for doa estimation using multiple and single snapshot

说明：  地震记录显示 显示地震记录波形 振幅等 地震记录(Seismic Record Display)

施肥量与产量关系；动态规划模型求解程序示例； 模型求解的Matlab程序（穷举法） mcm 1997 B题 截断切割；1996B洗衣机节水模型，参数与数据初始化等(Relationship between fertilization rate and yield dynamic programming model program examples of the model solution Matlab program (exhaustive method) Mcm 1997 B title cut cutting 1996B saving washing machine models, parameters and data initialization, etc)

QPSK通过瑞利信道的MATLAB建模与仿真的程序(QPSK rayleigh channel matlab modeling and simulation)

使用matlab提供的bp网络工具实现手写数字识别。内涵大量测试用手写数字(Bp using matlab network tools available to achieve handwritten numeral recognition. Test a large number of handwritten digital content)

使用蒙特卡洛算法，实现对排队等待问题的计算(MonteCarlo method)

这个包包括了一个多类代价敏感学习方法Rescalenew。这是一个通用的方法,如instance-weighting, sampling, threshold-moving等。(This package includes a multi-class cost-sensitive learning method Rescalenew. This is a general method which can be realized in many ways such as instance-weighting, sampling, threshold-moving, etc. This package includes five implementations of the method, that is, instance-weighting+C4.5, over-sampling+C4.5, under-sampling+C4.5, threshold-moving+NN and threshold-moving+PETs (probability estimation trees). )

cognitive Radio simulation in matlab thanks