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matlab编程
- matlab作图
yiqunsuanfa
- 蚁群算法解决单目标函数优化问题。并通过作图的形式直观看出形象。-The ant colony algorithm to solve the single objective function optimization problem. And seen the image of the form of mapping intuitive.
bp9
- 关于BP网络权值-误差关系并分析作图小程序-About BP network weights- Error relationships and analyze mapping applet
lmi1998fig3.m
- 文件夹里包含一篇已发表的结果。此论文是有关于模糊控制系统的稳定性研究。考虑初学者对于模糊作图的困惑。我们上传的代码可做参考。直接运行文件lmi1998fig3.m。可得文中Fig 3.-This rar includs a published paper which presents new relaxed stability conditions and LMI- (linear matrix inequality) based designs for both continuou
my052
- 分形蕨函数的源代码,factal fern 函数作图,-factal fern
Elman_Nerve-network
- Elman神经网络选取训练数据和测试数据, 网络的建立和训练,通过作图 观察网络的预测效果.-Elman nerve network selection training the data and test data, the establishment and training of network, pass the estimate effect of making the diagram observation network.
PS0_immu
- 神经网络选取训练数据和测试数据, 网络的建立和训练,通过作图 观察网络的预测效果.- nerve network selection training the data and test data, the establishment and training of network, pass the estimate effect of making the diagram observation network.
PSO_adaptation
- PSO神经网络选取训练数据和测试数据, 网络的建立和训练,作图 观察网络的预测效果.-PSO nerve network selection training the data and test data, the establishment and training of network, pass the estimate effect of making the diagram observation network.
PSO_breed
- PSO神经网络选取训练数据和测试数据, 网络的建立和训练,作图 观察网络的预测效果.-PSO nerve network selection training the data and test data, the establishment and training of network, pass the estimate effect of making the diagram observation network.
PSO_lin
- PSO神经网络选取训练数据和测试数据, 网络的建立和训练,作图 观察网络的预测效果.-PSO nerve network selection training the data and test data, the establishment and training of network, pass the estimate effect of making the diagram observation network.
PSO_nature
- PSO神经网络选取训练数据和测试数据, 网络的建立和训练,作图 观察网络的预测效果.-PSO nerve network selection training the data and test data, the establishment and training of network, pass the estimate effect of making the diagram observation network.
MATLAB概率与数理统计分析程序源码大全
- 将概率与数理统计的分析方法与MATLAB软件典型应用融为一体,既从理论上介绍了概率论与数理统计基础、数据处理与统计作图、统计估计、参数检验、方差分析、回归分析与数据拟合、实验设计及多元分析的基本原理及应用等内容,又详细讲解了使用MATLAB在各领域中处理工程数据的典型实例。