GAnnbp

换热站计算及选型，非常有用，里面用的XLS编写的，直接用就可以～～～～～(Calculation and selection of heat transfer stations, very useful, which use XLS written directly on it ~ ~ ~ ~ ~)

采用AHP方法，采用比较矩阵，对各层目标参数进行权重分配(AHP method using the target parameters weight distribution)

四个机器人，实现编队行走，遇到障碍物后变换队形，实现避障，基本思想是利用栅格法。(Four robot, achieve the formation of walking, encounter an obstacle after the formation and transformation, to achieve obstacle avoidance, the basic idea is using grid method.)

Download the file town .jpg, which is a 1024×768, 256-grayscale image taken on a bright sunny day. The image was taken in the shadow of a building. As the result, the sunlight areas are glaring white and the shadow areas are dark and low contrast. Using the image enhancement techniques covered in class, increase the contrast and the brightness of the dark areas, and reduce the brightness of the sunny areas

光伏微网逆变器并网matlab/simulink仿真，仿真效果很好，mppt环节采用扰动跟踪法，锁相环部分使用s-function编译(Solar Micro Inverter Grid matlab/simulink simulation, the simulation results very well, mppt link tracking using perturbation method, phase lock loop section compiled using s-function)

该程序可对变压器做仿真,模拟变压器放电传播特性,并加以定位用(The procedure can be done on the transformer simulation, simulation transformer discharge propagation characteristics, and positioning with)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

一级倒立摆的m文件，包含lqr，pid等控制算法(The m file of a single inverted pendulum)

动态时间规整程序,Matlab编写,用于两个序列的对齐(Dynamic time warping process, Matlab to prepare for the alignment of two sequences)

unsecnted Kalman Filter