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elman
EXAMPLE9_2_1.M 函數newelm的使用
EXAMPLE9_2_2.M 訓練Elman類神經網路
EXAMPLE9_3_1.M 函數newhop的使用
EXAMPLE9_3_2.M 創建具有兩個神經元的hopfield網路(
EXAMPLE9_2_1.M :
the use of fuction newelm
EXAMPLE9_2_2.M :
train Elman neural network
EXAMPLE9_3_1.M :
the use of fuction newhop
EXAMPLE9_3_2.M :
to create two neurons of hopfield network)
- 2010-05-23 21:53:10下载
- 积分：1
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swept_sine
正弦扫频 Sine sweep
应用matlab( Sine sweep
)
- 2021-04-22 14:08:49下载
- 积分：1
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broadband_match_amplifier_objective_function
BROADBAND_MATCH_AMPLIFIER_OBJECTIVE_FUNCTION Is the objective function
- 2015-02-13 17:37:22下载
- 积分：1
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bottom_up_segmentation
这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。
(This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)
- 2021-03-20 16:29:18下载
- 积分：1
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matlab拓扑优化STL模型
拓扑优化
一种开源框架，适用于增材制造和基于水平集的拓扑优化(Topology Optimization)
- 2020-07-04 04:40:01下载
- 积分：1
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ocica97-p
这是一篇ica盲源分离方法的技术文章
Overcomplete 的方法来解决(Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations)
- 2009-04-11 16:33:09下载
- 积分：1
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Study
PC-mouth communication through the programming address translation software, the use of very!
- 2015-01-12 01:20:30下载
- 积分：1
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npc1
三电平逆变器正弦SPWM控制策略的仿真研究(Three level inverter with sinusoidal SPWM control strategy simulation)
- 2020-10-04 16:57:39下载
- 积分：1
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~5Book_MATLAB+simulink
电子通信系统的建模与仿真
第5章 数字通信系统的仿真
5.1 概述
5.2 信源
5.3 信源编码
5.4 调制技术（模拟调制）
5.5 调制技术（数字调制）
5.6 多元调制仿真
5.7 差错控制
5.8 交织与置乱
5.9 频率合成
5.10 多址技术
5.11 信道仿真
(Electronic communications system modeling and simulation of Chapter 5 of Digital Communication System Simulation 5.1 overview 5.2 Source 5.3 Source Coding 5.4 modulation technique (analog modem) 5.5 modulation technology (Digital Modulation) modulation over 5.6 yuan simulation 5.7 Error Control 5.8 intertwined with Purchase 5.9 Frequency Synthesizer chaotic sites more than 5.10 channel simulation technology 5.11)
- 2008-07-27 21:43:49下载
- 积分：1
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LNCPSO
希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))
- 2013-09-23 19:15:32下载
- 积分：1
