Boost_12_80V_30W

通过这个算法可以确定BP神经网络中隐层最优神经元个数(Determine the BP neural network hidden layer neuron number of optimal)

它提供了龙格-库塔法，用以解决微分方程这类方程。(It provide the Runge-Kutta to solve differential equation.)

matlab的上课课件以及全部m文件，希望大家下载学习。(class courseware, and all the matlab m file, I hope you download the study.)

本程序旨在计算在整个调节时段的初末水位已知的情况下（水位均为170米），从后往前计算出每个阶段的各个水位到最后阶段的最优发电效益，逐步向前递推找出最大年发电效益，从而找到最优化的路径放入到矩阵LJ中，本程序未考虑防洪限制。(The purpose of this procedure is to calculate the optimal power generation benefit for each stage from the rear to the final stage (the water level is 170m) in the case where the initial water level of the whole adjustment period is known (the water level is 170m), and the maximum annual power generation benefit can be found gradually forward. In order to find the optimized path into the matrix lj, the procedure does not take into account the flood control limitation.)

说明：  matlab的命令大全，希望对大家有帮助呵呵，主要是一些命令咯 (Matlab orders, hope to help you, is mainly some orders)

fdtd program，using the matlab program ，very good

Finite Element solution of Poisson equation

异步电动机数量控制完整仿真模型，可以根据实际情况写该参数，达到研究者所需要的情形(The number of complete induction motor control simulation model, the parameter can be written according to the actual situation, the researchers needed to achieve the situation)

本文二次更新型粒子群算法（ TUPSO）的基本思想是：一方面，在保留粒子群算法中快速收敛， 易于实现， 调整参数少等优势的前提下，通过融合基本粒子群算法中的信息共享原理与 DPSO-TSP 中的 2-Opt 运算法则，改进了DPSO-TSP中粒子进化的规则(In this paper, the basic idea of the new particle swarm optimization (TUPSO) algorithm is: on the one hand, by integrating the particle swarm optimization algorithm in the fast convergence, easy to achieve, adjust the parameters of less advantage of the premise, through the integration of basic particle swarm algorithm information sharing Principle and the 2-Opt algorithm in DPSO-TSP improves the rule of particle evolution in DPSO-TSP)

Fast Hog People Detection