MLNB

概率神经网络的分类预测-基于PNN变压器故障诊断(Probabilistic neural network classification and prediction- PNN transformer fault diagnosis based on)

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment respectively, runs a loop for all the sensor readings and calls the ekf localize.m to perform one iteration of EKF localization on the readings and plots the estimation(red)/ground truth(green) and odometry(blue) information.(This lab consists of two parts: 1. A preparatory case study with a standard Kalman lter where you learn more about the behavior of the Kalman lter. Very little extra code is needed. 2. The main lab 1 problem in which you need to complete an implementation of an Extended Kalman lter based robot localization.)

this is a ebook on matlab

Actor-Critic简单应用例子,连续状态空间，离散动作(Actor-Critic examplr)

MATLAB编写的简易计算机~设置GUI界面(MATLAB summary prepared by the computer-settings GUI interface)

quasi square wave by matlab

this file is sift code.

说明：  包含Mppt的光伏电池simulink模型及资料。(Contains the Mppt photovoltaic battery Simulink model。)

alternator project - synchronus machine project

希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))