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BP-Example
神经网络控制的Matlab程序代码的详细解读,通过长时间的使用神经网络控制我对该算法深刻认识都清清楚楚写在每一句代码的后面,包括如何修改,基本可以涵盖多种神经网络控制(模糊神经网络,自适应神经网络等等)相信这个程序解读对本科及硕士的毕业设计是有极大帮助的(Matlab neural network control of the detailed code interpretation, through the use of neural networks a long time to control my profound understanding of the algorithm are clearly written in the code behind each one, including how to modify the basic can cover a variety of neural network control ( fuzzy neural networks, adaptive neural network, etc.) believe that this interpretation of the undergraduate and master' s program graduate design is of great help)
- 2010-07-14 14:09:46下载
- 积分:1
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paloha
说明: 防碰撞纯ALOHA的matlab仿真算法(The pure ALOHA anti-collision simulation algorithm matlab)
- 2011-03-20 11:31:05下载
- 积分:1
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matlabcodes
平面天线阵列方向图分析,对平面天线阵列给定了激励的幅度和相位,求解阵列因子方向图。假定元素各向同性(plane antenna array radiation pattern analysis。)
- 2013-07-10 13:00:12下载
- 积分:1
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kowsalya
Simulink matlab in static objects
- 2011-09-01 12:39:14下载
- 积分:1
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CTrayIconPosition_src
一个控制托盘图标位置的例子(-An example of controling the ico position of tray)
- 2003-10-23 11:23:05下载
- 积分:1
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CODE
说明: 基于小波变换的图像压缩和编码。matlab实现。(Based on wavelet transform image compression and coding. matlab achieve.)
- 2008-09-19 15:04:19下载
- 积分:1
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trainok1
通过MATLAB软件所建立的CRH2动车的模型。(Established through MATLAB software model CRH2 EMU.)
- 2020-12-06 22:59:23下载
- 积分:1
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project_PSOBP
一个基于PSO优化weights的BP算法程序来进行故障诊断(PSO-based algorithm to optimize weights of BP procedures for troubleshooting)
- 2021-03-27 17:39:12下载
- 积分:1
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Pss-stability
power system stability with and without PSS yu power system stability book example
- 2014-01-27 18:55:58下载
- 积分:1
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泊松过程的生成及其统计分析
假设一个交换系统有M部电话,每个用户在很短的时间(单位时间内)呼叫一次的概率为P;用户间呼入的时刻相互独立,当M很大,P很小时,时间t内到达交换机的呼叫次数构成泊松过程N(t)。
1、确定此泊松过程的参数。利用计算机仿真N(t)的生成过程。注意合理选择M和P,时间分辨率为一个单位时间。
2、为了比较生成的N(t)与理论模型的吻合程度。取N(t)的多个样本并选取3个典型时间,,,得到,,三个随机变量的样本,在一张图上画出其直方图及理论分布曲线,并将两者对照。比较M选取不同时的效果。注意:样本个数足够多。
3、画出任意相邻两次呼叫间隔的直方图,和理论值进行对照。验证其与其它相邻两次呼叫间隔随机变量的独立性。
试推导在N(t)=N条件下第n次呼叫时刻的概率密度函数(1≤n≤N)。并比较仿真生成的呼叫时刻与所推导理论模型的吻合程度(可取N=10)(Suppose an exchange system has a M phone, the probability of each user calling once in a very short time (per unit time) is P; the time for the incoming call between the users is independent, when the M is large and the P is very small, the number of calls to the switch within the time t constitutes the Poisson process N (T).)
- 2018-03-31 10:25:12下载
- 积分:1