Gramaltendcode

计算分形维数，里面提供了分线法、盒维法和三角棱柱法。(Calculate the fractal dimension, which provides a sub-line method, box dimension method and the triangular prism method.)

k-means 算法，可以实现数据的分类输出(k-means 算法，可以实现数据的分类)

MCMC算法MATLAB程序在现实中的应用(MCMC algorithm MATLAB procedures applied in the real world)

用matlab 编写的英文字母识别的程序，附带样本和测试库，可以运行(alphabet recognition high performance)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

利用两层BP神经网络训练加权系数。隐含层的激活函数取S型传输函数，输出层的激活函数取线性传输函数(Weighting factor of two layers of BP neural network training. The hidden layer activation function to take the S-shaped transfer function, the output layer activation function to take a linear transfer function)

利用BBO算法来优化网络负载均衡，达到很好的效果，比传统方法优越。很适合正在用智能算法优化网络映射的学者。(BBO algorithm to optimize the use of network load balancing, to achieve good results, superior to traditional methods. It is optimized for network mapping scholars intelligent algorithms.)

压缩包包含4个天线选择算法的仿真，最佳选择，范数选择，递增选择和递减选择(Compressed package includes four antenna selection algorithm simulation, the best choice, norm selection, increasing choice and decreasing options)

Successful classification ratio dynamic over the number of terminal nodes: cross-validation

本文件采用Matlab软件，实现了拉普拉斯逆变换的计算。(This document is the use of Matlab software, the realization of the inverse Laplace transform calculations.)