-
mathmodl
数学建模常用工具，线性规划，最优控制等等，已经整合成工具箱(Mathematical modeling of common tools, linear programming, optimal control, etc., have been integrated into the toolbox)
- 2014-11-14 10:11:43下载
- 积分：1
-
Boost_converter
Boost converter implementation in simulink
- 2015-04-06 19:58:58下载
- 积分：1
-
非线性遗传算法
非线性遗传算法代码，解决带约束条件的一般问题(Nonlinear genetic algorithm code, solve the general problem with constraints)
- 2017-09-20 11:18:17下载
- 积分：1
-
powerflow
电力系统潮流计算的MATLAB源码 。(Power Flow Calculation of the MATLAB source code.)
- 2009-03-30 19:44:35下载
- 积分：1
-
FaribaTaghinezhadnet
red and wred algorithms in matlab for networking
- 2009-11-19 00:52:20下载
- 积分：1
-
ToolboxAndApplicationOfGeneticAlgo
这是一份matlab的遗传算法实现案例，是南京大学软件学院算法课程的高级实践课题，具有一定的指导意义(This is the case of a matlab genetic algorithm, Nanjing University School of Software Algorithms course practical issues, has a certain significance)
- 2013-03-09 14:29:00下载
- 积分：1
-
bpcs
这是一个把神经网络直接应用于轴承的故障诊断的程序，输入轴承的信号，直接得答案(This is a direct application of neural network in bearing fault diagnosis procedures, input bearing signal, a direct answer)
- 2011-11-13 20:58:00下载
- 积分：1
-
mimo信道容量仿真matlab
说明： MIMO信道容量仿真matlab代码，最全的M文件，使用非常棒。(MIMO channel capacity simulation matlab code, the most complete m file, using very good.)
- 2020-04-03 19:49:15下载
- 积分：1
-
Gauss
说明： guass法解矩阵的源程序，编的水平有限，仅供参考(guass method solution matrix of the source, compiled is limited, for reference only)
- 2011-04-03 23:32:40下载
- 积分：1
-
pso
粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)
- 2014-11-10 10:45:51下载
- 积分：1
