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MATLAB7
Matalab7.0基础与提高,详细介绍Matalab矩阵运算、符号运算、程序设计初步、可视化等(Matalab7.0)
- 2009-09-08 10:03:40下载
- 积分:1
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GAtool
matlab遗传算法工具箱
GAtool(Matlab toolbox GAtool GA)
- 2006-11-23 17:10:28下载
- 积分:1
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Border
静电场边值问题的解法浅析,用分离变量法解决静电场边界问题的基本思路(Electrostatic Boundary Value Analysis)
- 2011-06-12 15:31:51下载
- 积分:1
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飞蛾火焰优化算法 MFO
说明: 飞蛾火焰优化算法、原论文及matlab仿真程序(Moth flame optimization algorithm, original paper and MATLAB simulation program)
- 2021-01-05 23:38:54下载
- 积分:1
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walsh
These are orthogonal complimentary code version of walsh codes which are or to be used in cdma systems.
- 2009-03-23 18:07:05下载
- 积分:1
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cvx
说明: 凸规划建模系统,包含用户手册,有助于学习压缩感知。(Convex programming modeling systems, including user manuals, helpfull for learning compressed sensing .)
- 2011-02-27 23:00:51下载
- 积分:1
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intface
fish语言建模,flac3的软件模型尺寸(fish language modeling, flac3 software model size)
- 2014-12-21 10:03:38下载
- 积分:1
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pid
一种变速积分的PID算法,积分系数为偏差值的一次函数。(PID algorithm, an integral factor as a function of speed integral deviation values.)
- 2013-12-14 17:08:06下载
- 积分:1
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The-matlab-algorithm-program
matlab编写的有关图论方面的程序,在这里与大家分享,共同学习!(Matlab prepared by the relevant theory of the procedure, here and share with everyone, learning together!)
- 2012-05-15 10:24:49下载
- 积分:1
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BP-and-SOM
BP(Back Propagation)网络是一种按误差逆传播算法训练的多层前馈网络,是目前应用最广泛的神经网络模型之一。
BP网络能学习和存贮大量的输入-输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程。
它的学习规则是使用最速下降法,通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层(input)、隐层(hide layer)和输出层(output layer)。
通过对信息的提取以及记忆,用作分类、聚类、预测等。
(BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)
- 2016-03-09 10:41:33下载
- 积分:1