response

Simulation de l alternateur

这是一个求解集合覆盖问题的众所周知的贪婪算法，其中有些部分做了修改(The well known greedy algorithm for solving Set Cover problem, with a few changes )

matlab的数值分析，利用matlab来科学计算。用超松弛法求解Ax=b。(Matlab numerical analysis using matlab to scientific computing. Overrelaxation method for solving Ax = b.)

改进aic准则ARIMA模型，通过调整误差来寻找p和q(ARIMA model)

关于神经网络算法在MATLAB中对典型二阶对象进行仿真，并得到其阶跃响应。。(MATLAB)

很有用的代码，可用于图像拼接，由matlab实现，实现效果不错(Useful code that can be used for image mosaic, from the matlab implementation, to achieve good results)

PID控制算法简单、鲁棒性强，但其参数整定过程繁琐，整定时需要控制对象的精确数学模型，而且整定往往是针对某一种具体工况进行的，缺乏自学习和自适应能力。模糊神经网络则兼备了模糊逻辑和神经网络的优点，具有函数逼近功能，具有较强的自适应、自学习能力、容错能力和泛化能力。借助于遗传算法对全局性参数进行优化设计，借助于BP算法对局部性参数进行优化，将模糊神经网络和遗传算法引入PID控制参数的整定过程，构造出一种基于模糊神经网络和遗传算法的智能PID控制器(Intelligent controller based on fuzzy neural network and genetic algorithm)

说明：  the linear ARX model as shown below [12] is used to represent the input and the output data for the system. This ARX model is utilized for both Least Square (LS) and Recursive Least Square (RLS) algorithms. It is one of the simplest statistical methods for system identification used to find the transfer function for the model. The equations given by [15]: Y=φβ+ξ (7) β=〖(φ^T φ)〗^(-1) φ^T Y (8) where Y is the predicted output. φ is includes actual input and output parameters. β is includes parameters to be estimated.

基于MATLAB的pso算法解决背包问题(Pso algorithm based on MATLAB to solve knapsack problem)

基于雷达信号处理的仿真实现实现，是一个和前任研究不同的代码。(Radar signal processing based on the implementation of the simulation implementation, is a former research and different codes.)