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说明：  平台：matlab 基于bp反馈网络的算法设计的双层感知器。 (Platform: matlab-based algorithm design of feedback network bp double-layer perceptron.)

matlab simulation of dtc fed im

通过移动机翼，尾翼，起落架和油箱的位置来使气动中心和重心重合。(By movingwings, tail, landing gearand fuel tankpositionto makethe aerodynamic centerand center of gravitycoincide.)

船舶电力推进螺旋桨数学模型,采用切比雪夫多项式拟合，可以作为电力推进系统的负载使用。(Ship electric propulsion propeller mathematical model. By using Chebyshev polynomial fitting, as electric propulsion system load.)

MATLAB电力系统设计与分析 pdf 电子书(MATLAB power system design and analysis of e-books pdf)

基于bayes准则和fisher准则的线性分类器。bayes是对细胞的判别分类 分为最小错误率和最小风险两种；fisher是对两类进行判别(Bayes guidelines and criteria based on fisher linear classifier. bayes classification is divided into cells, determine the minimum error rate and minimal risk of two kinds fisher is to discriminate two types of)

使用MVDR方法进行信号频率估计的matlab仿真代码(MVDR method using frequency estimation matlab simulation code)

SRIM is a software that does Monte Carlo simulation of ion implantations. It can estimate the distribution of ions and target damages after an implantation. SRIMRangeDist helps SRIM users to plot the ion distribution data a SRIM output with relative ease. In some occassions, SRIM users need to calculate the distribution statistics of a series of several ion implantations and do a trial-and-error work to get the optimal implantation parameters. Performing this kind of task manually in a data processing software can be a bit mundane. SRIMRangeDist allows users to plot multiple implantation profiles on the same graph, and it computes the total distribution and the 95 confidence interval of the distribution for a quick reviewing of many implantation scenarios.

说明：  基于Simulink（可再生能源）的电力系统仿真 这个程序是用来模拟现代电力系统与可再生能源，如风能，太阳能和电池源集成。(Power System Simulation Using Simulink (Renewable Energy) This program is used for simulating modern power systems integrated with renewable energy sources such as wind, solar, and battery sources.)

Bayes分类器算法设计的matlab码 注释详细 大家一起学习啊(Bayes classifier algorithm design of the matlab code comment in detail with everyone to learn ah)