资源列表
lvbo
- 双线性变换实现ButterWorth 低通，用双线性变换法由模拟滤波器原型设计数字滤波器(The dual linear transformation realizes ButterWorth low pass, and USES bilinear transformation method to design digital filter by analog filter prototype.)
空间机器人动力学正逆解及遗传算法路径规划
- 1.求解机器人的正逆解 2.采用遗传算法对机器人进行路径规划(1. positive and inverse solutions for solving robot 2. genetic algorithm for robot path planning)
Untitled 14 BP NN
- 用bp神经网络对故障信号进行分类，通过训练和测试数据，来验证结果(Using bp neural network to classify fault signals and verify results by training and testing data)
G
- 通过SIMULINK及Matlab进行的三自由度弹道仿真和计算(Simulation and calculation of three degrees of freedom ballistic trajectory through SIMULINK and Matlab)
Untitled0000000
- 通过pso优化rbf神经网络来提高信号的预测效果，以达到比单独使用rbf神经网络更好的预测效果(Optimize rbf neural network through pso to improve signal prediction performance to achieve better prediction effect than using rbf neural network alone)
Untitled13
- 用bp神经网络对几组数据进行训练，然后对剩下的数据进行预测，以达到预测故障的目的(Using bp neural network to train several sets of data, and then predict the remaining data to achieve the purpose of predicting failures.)
Oribit Design
- 1.基于龙格库塔方法的卫星轨道六要素计算 2.卫星轨道优化(1.Six elements calculation of satellite orbit based on Runge Kutta method 2.Satellite orbit optimization)
交会对接
- 基于四级四阶龙格库塔方法的航天器交会对接问题求解(Solving the problem of spacecraft rendezvous and docking based on the four stage and four order Runge Kutta method)
Lag_polyfit New_polyfit
- 拉格朗日插值法和牛顿插值法，matlab软件编程，.m文件(Lagrange interpolation and Newton interpolation, MATLAB software programming,.M file)
pmsm_vec_SVPWM
- 基于MATLAB/smulink的异步电动机弱磁控制模型仿真，调试完毕，但是对于学习弱磁控制还是有一定的帮助(The simulation of the MATLAB/smulink based induction motor weak magnetic control model is completed, but it has some help for the learning of weak magnetic control.)
windig25
- it is a filter cpw low pass
cplex翻译完全版
- Cplex是一种用于GAMS (The General Algebraic Modeling System，通用代数建模系统)的求解器，它使得用户可以把GAMS（通用代数建模系统的）的高级建模功能跟Cplex优化器的优势结合起来。Cplex优化器是为能快速、最少用户干预地解决大型、复杂问题而设计的。求解线性、二次约束和混合整数规划问题的Cplex算法现在已提供访问（针对恰当的许可证）。尽管现存有多种求解工具，但是，GAMS/Cplex能自动地为特定问题计算最优值和设置大部分选项。(Cplex i