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Main_SVR_Epsilon
svm Main_SVR_Epsilon 用于svm回归的 在matlab中运用 (svm regression svm Main_SVR_Epsilon for use in matlab)
- 2009-04-19 17:21:24下载
- 积分：1
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LFnewton
power flow analysis using newton raphson method
- 2013-07-27 19:00:20下载
- 积分：1
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S7-300-PPT
plc ppt 希望对你的学习有作用！谢谢分享！(plc ppt hope to learn a role for you! Thank you to share!)
- 2011-10-02 10:47:48下载
- 积分：1
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hundunbest
需要混沌程序源码的快下，很经典，研学网友提供，包含小数据量法 求指数 wolf法 互信息量法 混沌预测总程序等等
(source of quick, classic and study Netizen offer included small amount of data Method index wolf Mutual Information Act law chaotic procedures Forecast)
- 2007-06-26 23:30:26下载
- 积分：1
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me_kf
这是一个马乐土科夫-GM（1，1）的程序代码，一般用于预测，对于短期预测非常有效(This is a horse paradise Cove-GM (1,1) of the code, generally used for prediction, is very effective for short-term forecast)
- 2011-09-01 16:26:04下载
- 积分：1
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sanxiangpwm
三相pwm电路matlab仿真,已经试过可以使用(three pwm)
- 2014-11-26 17:10:47下载
- 积分：1
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SPSOS
多目标的粒子群算法例程，可以通过该粒子群遗传优化算法，进行matlab编程仿真，得到优化结果(Particle Swarm Optimization)
- 2015-03-19 09:21:45下载
- 积分：1
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MSR_FFT
MSR FFT for fast analysis
- 2010-11-11 18:33:05下载
- 积分：1
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ClustHerm.matlab
说明： 上传RBF源程序，希望能对大家学习有所帮助，并请提出宝贵的意见和建议！(upload source, in hopes of learning we can help, and requested the valuable advice and suggestions!)
- 2006-05-10 17:12:20下载
- 积分：1
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the-wavelet-neural-network
城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经
网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.(For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact
prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a
GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of
natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to
pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the
parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single
gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim-
ulation using the GA2WNN prediction model demonstrates the validity of the model .)
- 2020-11-11 20:49:44下载
- 积分：1
