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BP神经网络，自适应竞争神经网络对地震进行预测实例(BP neural network, adaptive competitive neural networks to predict the earthquake example)

说明：  在新材料制备过程中，会遇到大贡的实脸数据需要处理的问题，利用visualBasic6.0调用Matlab可解 决这一问题。介绍了基本原理，执行办法，以及曲线拟合的理论方法，并给出了实现的程序和编制软件的部分界面。 (Abstract The preparation process of the new materials will meet the real face great tribute to deal with the problem of data, using visualBasic6.0 call Matlab solve this problem. Introduced the basic principles, implementation, and the theoretical curve fitting method, and gives the implementation process and the preparation of some of the software interface.)

code segmentation an image

说明：  这些源程序是最优化里的一些优化方法，用于解决简单函数，和多维函数的问题！(wegstein hair, is to optimize the course of a demand extreme value method for a simple function, find solutions and high precision!)

此文介绍了matlab的在系统仿真方面应用，以及如何利用simulink进行系统仿真(the document concerns with the study of matlab)

上串文件所需的子函数，设计所需的滤波器。(a subroutine to generate filters need by bpsk,etc.)

光伏电池阵列输出功率受光照强度和温度变化的影响，因此最大功率点跟踪（MPPT）技术广泛应用于光伏系统中。在所有最大功率点(MPP)控制策略中，扰动观察（P&O）MPPT算法因易实现被广泛应用，然而它的缺点是在稳定工作状态下工作点通过MPP 时会导致能量振荡损耗，并且在光照强度或温度发生突变时表现较差的动态响应。在本文中，提出一种改进型变步长扰动观察MPPT 算法，此方法依据工作点动态调整步长变化，与传统固定步长方法比较，本文提出的方法能有效地提高MPPT 速度和转换效率，通过仿真和实验结果分析，验证了此改进算法的可行性。(PV array output power by light intensity and temperature changes, so the maximum power point tracking (MPPT) technology is widely used in photovoltaic systems. In all the maximum power point (MPP) control strategy, the perturbation and observation (P & O) MPPT algorithm because easy to implement is widely used, but its disadvantage is the steady-state operating point by the MPP causes energy oscillations loss, and in the light intensity or temperature mutated poor performance dynamic response. In this paper, we propose a modified variable step size perturbation and observation MPPT algorithm, this method is based on dynamically adjusting the operating point changes in steps, with the traditional fixed-step methods, the proposed method can effectively improve the speed and efficiency MPPT, The simulation and experimental results verify the feasibility of this algorithm.)

清华大学数值计算和数学实验建模的幻灯片与MATLAB源代码(Tsinghua University, numerical experiments and mathematical modeling of the slide with the MATLAB source code)

这是一个非常重要的而又简单的程序，是书上常用和数学建模的好帮手(great partner)

可调增益基于Lyapunov定理的模型参考自适应算法(Adjustable gain model reference adaptive algorithm based on Lyapunov Theorem)