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linearconvolution
This is the source code for Linear convolution in MatLab
- 2010-10-01 22:32:17下载
- 积分：1
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gatbx
说明： 谢非尔大学编的遗传算法工具箱，里面包含了完整遗传算法实例和经典的算(Xie National University series of genetic algorithm toolbox, which contains a complete and classic examples of genetic algorithm operators)
- 2011-03-22 15:40:40下载
- 积分：1
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概率潮流计算
说明： 为考查各种不确定性因素对系统运行的影响，需要大量地重复性潮流计算。结合概率理论形成的概率潮流计算能够充分考虑这些不确定性因素。由概率潮流计算可以得到节点电压、电流、支路潮流的均值、方差、概率密度函数等统计特性，从而更全面地反映系统运行状况。(In order to examine the impact of various uncertainties on system operation, a large number of repetitive power flow calculations are needed. The probabilistic power flow calculation based on probability theory can fully consider these uncertainties. Statistical characteristics of node voltage, current and branch power flow, such as mean, variance and probability density function, can be obtained from the calculation of probabilistic power flow, thus reflecting the operation status of the system more comprehensively.)
- 2019-10-03 14:28:51下载
- 积分：1
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第8讲
说明： 基于模糊神经网络的仿真历程，以及案例实现(Motor model, program simulation implementation, Simulink simulation based on S-function module, MATLAB simulation environment)
- 2020-10-19 10:52:02下载
- 积分：1
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RGELS
此为我老师写的RGELS算法，适合系统辨识的初学者(This is my teacher wrote RGELS algorithm, suitable for system identification of the beginners)
- 2008-08-04 20:51:22下载
- 积分：1
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Classification_toolbox
各种分类器的工具包，包括贝叶斯分类器，k-means分类器等！(Various classifier toolkit, including the Bayesian classifier, k-means classifier, etc.!)
- 2008-08-22 20:49:50下载
- 积分：1
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HHT
希尔伯特黄变换的相关资料。有需要的可以下载下来学习学习！也可以大家讨论(Hilbert Huang transform the relevant information. Need to download to learn from! You can also discuss)
- 2012-06-04 19:57:54下载
- 积分：1
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Model_samochodu
SIMULATION USING MATLAB AND SIMULINK
- 2015-02-08 13:17:26下载
- 积分：1
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PULSE
本程序为多个不同脉冲程序。用于刺激或脉冲发生器的研究(This program is different pulse program. Or pulse generator for stimulating research)
- 2013-11-15 09:16:25下载
- 积分：1
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61046606ABCNNTrain
Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
- 2013-12-10 16:58:46下载
- 积分：1
