trajectory

说明：  matlab MCL（蒙特卡罗）仿真，移动节点(matlab MCL (Monte Carlo) simulation, mobile nodes)

首先在m脚本文件canshuo.m中输入节点个数和路径权重，在命令窗口中输入canshu，用s=12,e=10的格式输入要求的起止点，再输入main即可得到两点之间的路径和长度。(M script file canshuo.m first enter the node number and the right path lies in the command window enter canshu, with s = 12, e = 10 The format of the input requirements of the start and end points, and then enter the main between two points can be obtained path and length.)

说明：  Total Variation by Gilboa

Simple code for clipping

光通过三菱镜动态仿真，matlab程序，学习光学仿真必看的代码(Mitsubishi mirror light through dynamic simulation, matlab program, learning the optical simulation must-see code)

In wireless sensor network, residual energy of node is very important criteria. Life of wireless sensor network depend the energy of node. In most of the application, the nodes are battery operated. So it is very important to select the parameters like nodes deployment in network, size of packet, etc. In work,analyze node’s energy with respect to packet size, distance, time and also how much data can be transmitted. And finally we will conclude for the effective value of these parameters.

Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)

粒子群算法，本算法对粒子群算法进行了改进(PSO, the PSO algorithm has been improved)

在Matlab的Simulink仿真环境，模拟光伏电池板电流输入控制电压输出(In Matlab Simulink simulation environment, the simulation of photovoltaic panels current input control voltage output)

SIMPLE integer programming with pso