bpmpdmex2.21.1_linux_R2007.tar

说明：  采用隶属函数型神经网与模糊控制融合的解耦方法（DMFFCNN）方法实现解耦控制，有文字说明和源代码(Membership functions using neural networks and fuzzy control integration decoupling method (DMFFCNN) method of decoupling control, there are text and source code)

This is a code for Smooth better than sharp mobility model.

Symmetrical component analysis

介绍matlab各种常用命令，让初学者轻松从入门到精通的电子书。-Matlab introduce a variety of commonly used commands, so that easy for beginners from entry to master e-book.

两个盲源分离程序 分别对应文章《Underdetermined Blind Source Separation using Sparse Representations》和《Underdetermined blind separation of delayed sound sources in the frequency domain》(Blind Source Separation )

optimization power flow

数值分析中的计算样条插值的matlab源程序。(Numerical analysis of the calculation of the spline interpolation matlab source.)

to convert from depth to time in seismic data

带有GUI的滤波器程序，matlab平台可以用，可以通过GUI对滤波器进行设置

这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。(This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy network trained exclusively by error backpropagation at layers 2 and 4. The network employs 4 sets of adjustable parameters. In Layer 2: mean[i,j], sigma[i,j] and Theta[i,j] and in Layer 4: Weights w4[m,j]. The network uses considerably less adjustable parameters than ANFIS/CANFIS and therefore, its training is generally faster. This makes it ideal for on-line learning/operation. Also, its approximating/mapping power is increased due to the employment of dynamic elements within Layer 2. Scatter-type and Grid-type methods are selected for input space partitioning.)