HopfieldExperiment

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

微分进化算法@matlab 适用于无约束连续变量的全局优化，包括线性规划、非线性规划，非光滑优化。(@ Matlab differential evolution algorithm for unconstrained global optimization of continuous variables, including linear programming, nonlinear programming, nonsmooth optimization.)

自动画圆小程序 ：只要有了坐标，就可以方便的大量快速画圆(Automatic Circle applet: As long as with the coordinates, you can quickly draw a circle to facilitate a large number of)

说明：  V带传动多目标优化设计 轴系设计计算 轴系设计计算-2(V belt drive shaft multi-objective optimization design calculations-2 shaft design calculation)

基于simulink仿真的太阳能最大功率跟踪（MPPT）算法(The MPPT used in simulink)

朋友发给我的完整的EMD程序，可能对搞这方面研究的人有帮助(A friend sent me the full EMD program, engage in research in this area may help people)

convolutional source code

平方根法程序 输入变量为一个n阶正定矩阵A，输出的结果为下三角矩阵L(Square root law procedures)

在matlab环境下对grid文件进行可视化修改，方便灵活。(In the matlab environment to visualize modified grid files, convenient and flexible.)

说明：  粒子群算法求解约束多目标优化万能matlab代码。本代码是基于有约束条件的寻优问题，采用APSO可以加快寻优的速度，修改参数比较简单，目标函数和上下限根据自身的需要进行改动，，可以实现目标函数的寻优(Particle swarm algorithm for solving constrained multi-objective optimization universal matlab code. This code is based on the optimization problem with constraints. Using APSO can speed up the optimization process. It is relatively simple to modify the parameters. The objective function and the upper and lower limits are changed according to their own needs. The optimization of the objective function can be achieved.)