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对混沌时间学列但不预测及多步预测的输入信号信号归一化处理(Studies of chaotic time series prediction and multi-step, but not predictable input signal signal normalized)

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.

此代码主要是用于在MATLAB中的图像叠加，现实中主要应用与全景图片。(this code is used mainly in MATLAB superimposed images of the reality that the main application and panoramic images.)

speaker recognition matlab code

基于遗传算法的粒子群算法，可有效解决粒子群算法局部最优(Particle swarm optimization algorithm based on genetic algorithm can effectively solve the local optimization of particle swarm optimization algorithm)

以实际模型为例，使用matlab分析测量数据并拟合，根据拟合结果预测未来数据。(The actual model, for example, using matlab analysis of measurement data and fit, according to the fitting results to predict future data.)

粒子群优化算法MATLAB代码，基于粒子群算法的多目标优化算法(Particle swarm optimization algorithm code)

帮助你轻松掌握MATLAB 简单方便快捷，如果你想快速提高 (MATLAB help you easily master the easy fast, if you want to rapidly improve)

利用DOA算法估计来波的数量和角度并画图，算法中待估计的角度数量和大小可调节。(DOA estimation algorithms use the number and angle of wave and drawing, the angle of the algorithm to be estimated number and size can be adjusted.)

Gentle boost implementation