fuzzy-pid

二阶粒子群，比pso更加精确更加灵敏地优化函数。在标准pso算法中，微粒的飞行速度仅仅是微粒当前位置的函数，而二阶粒子群算法中微粒飞行速度的变化与微粒位置的变化有关(Second swarm, more sensitive and more accurate than pso optimize function. Pso algorithm in the standard, the particle particle flight speed is only a function of the current position, the second particle swarm flying speed of particles in the particle changes related to changes in the position)

esprit算法是进行高分辨阵列测向地基本算法，它与music算法不同的是它不用进行谱搜索，大大的节省了时间(esprit algorithm is to carry out high-resolution array geotropism test the basic algorithm, it is different music algorithm is its need for spectrum search, significantly saving time)

this program simulates 2D electromagnetic Maxwell equations , by using finite difference time domain method FDTD..and it simulates the perfect matched layer to prevent the reflections that may occure at the boundaries of the problem space

说明：  通过遗传算法优化BP神经网络，提高其收敛速度和预测准确度。(BP neural network is optimized by genetic algorithm to improve its convergence speed and prediction accuracy.)

实例编程matlab 常用的100个源程序(Examples of commonly used programming matlab source code 100)

Simple and effective means of clustering any data for which a similarity matrix can be constructed. Does not require similarity matrix meet the standards for a metric. The algorithm applies in cases where the similarity matrix is not symmetric (the distance from point i to j can be different from j to i). And it does not require triangular equalities (e.g. the hypoteneus can be less than the sum of the other sides)

这是一个LDA主题模型的matlab代码，可进行中文模糊聚类分析，内涵说明，可直接使用。(This is a topic LDA model matlab code, can be Chinese fuzzy clustering analysis, meaning that can be used directly.)

由语言编和应用编两部分组成，语言编介绍MATLAB语言的基本语法，既便于自学，应用编给出80个实例(it composed by language and application, language part describes the basic syntax of the MATLAB ,and application part have 80 examples .both for self_learning)

concerned with the blind identication of bilinear systems excited by higher-order white noise. Un- like prior work that restricted the bilinear system model to simple forms and required the excitation to be Gaussian dis- tributed, the results of this paper are applicable to a more general class of bilinear systems and for the case when the excitation is non-Gaussian. We describe an estimation pro- cedure for the computation of the system parameters using output cumulants of order less than four.

假定一个线性调频信号，作出线性调频信号的时域和频域波形，并对线性调频信号做脉冲压缩(Assuming a linear FM signal, making a linear FM signal in time domain and frequency domain waveforms, and a linear FM signal with pulse compression)