Leader

说明：  一个开店必备文档，里面有全国的商品批发资料，很全的。(Must document a shop, which has the country' s wholesale information is complete.)

基于HJ_1A高光谱数据的植被覆盖度估测方法研究(Vegetation coverage estimation method based on HJ_1A hyperspectral data)

水下潜艇与航行器的信息融合方法研究，利用MDPDA算法的融合结果。(Submarines and craft in the information fusion method, using MDPDA fusion algorithm.)

说明：  在VC++环境下，机器人走三角形的程序，希望有需要的下载(In VC++ Environment, the robot follow the procedures for the triangle, I hope there is a need to download)

SIM868_RF_Design_Application Note_V1.00.pdf

OptiXiManagerT2000(SDH).rar (OptiXiManagerT2000(SDH).rar )

The Condition Monitoring of Fluid-Filled Taped Cables Employed in Underground Transmission Through Dissolved Gas Analysis

了解吉尔法解常微分方程组的数学方法，并熟悉它在实际中的应用。(Jill law understanding of ordinary differential equations solution of the mathematical methods, and are familiar with it in practical applications.)

求解二维雷诺方程，计算油膜压力分布，针对润滑密封的编程求解(Solve the two-dimensional Reynolds equation, calculate the pressure distribution of oil film, and solve the programming of lubrication seal)

针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the objective function of the traditional coal mine energy saving and emission reduction optimization model is relatively simple, the multi-objective optimization model of coal mine energy saving and emission reduction is constructed, which covers economic benefit, energy consumption and pollutant emission. And the optimized solution is used to find the 3 target functions based on the improved bat algorithm, and the economy is realized. The optimization results of maximizing efficiency, minimizing energy consumption and minimizing pollutant emissions are achieved. The simulation results show that, compared with the PSO-E and NSGA-II algorithms, the improved bat algorithm can obtain higher individual fitness within a shorter iteration step, and can achieve better multi-objective optimization results, which is in line with the target demand of energy saving planning.)