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matlab,时间序列,神经网络,预测,控制,matlab, time series, neural networks, prediction, control
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神经网络实现电力预测,bP神经网络,共轭梯度算法。-Neural network prediction of electricity, bP neural networks, conjugate gradient algorithm.
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以某区水文数据为例,在matlab7中构建BP神经网络,进行仿真预测。-Hydrological data in a certain district, for example, in matlab7 Building BP neural networks, simulation prediction.
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利用线性神经网络对某一正弦信号进行线性预测。利用函数newlind设计线性神经网络,
在已知正弦信号过去5个值得情况下,预测其将来值。
定义需要的信号,共持续5s,采样频率40Hz-Using linear neural network to a sinusoidal signal for linear prediction. Newlind design using a linear function of neural networks, known sinusoidal
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介绍了数据挖掘的各种方法(如支持向量机,神经网络,遗传算法)在地震预测中的应用-Introduced a variety of data mining methods (such as support vector machines, neural networks, genetic algorithms) in the earthquake prediction
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为了选择神经网络的最好结构以及增强模型的推广能力,提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值, 白适应地生
成网络隐层结点,然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很
好的收敛性和鲁棒性,能抑制由于数据异常和参数选择不当所导致的“过拟合,’现象。将SVR—NN
应用到时间序列预测上。结果表明,SVR.NN预测模型能精确地预测混沌时间序列,具有很好的
理论和应用价值。-Ab
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在matlab中用lvq神经网络实现交通事故持续时间的预测-In the matlab using lvq neural networks to forecast the duration of the traffic incident
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在Matlab中加入神经网络预测模型,实现对Ad Hoc网络的AODV的预测功能。-In the Matlab neural network prediction model by adding to realize AODV for Ad Hoc networks prediction capabilities.
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Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time
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Application of Neural Networks in Wind Power
(Generation) Prediction
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Multi-step-prediction of chaotic time series based
on co-evolutionary recurrent neural network
协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic
time series, it
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基于Matlab开发的BP神经网络系统预测和参数辨识程序,程序简单方便易学-neural networks prediction
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The Use of some Paradigms of Neural Networks in Prediction of Dielectric
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Prediction of thermal ageing in transformer oil and high voltage PVC cables using artificial neural Networks
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Neural Networks Algorithms in Prediction of thermal in transfo oil
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BP神经网络公路运量预测
实例讲述如何在matlab中使用BP神经网络-BP neural network prediction road traffic
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基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。
-Based on least squares support vector machine the
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Using artificial neural networks for time series prediction.
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利用matlab实现了神经网络元网络算法,实现了预测-Using matlab realize the neural network algorithm network, to achieve a prediction
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能够实现RBF,GRNN和PNN神经网络的案例,一个是RBF-近红外光谱汽油辛烷值预测,GRNN,PNN-鸢尾花种类识别。代码和数据均有,直接可以拿来使用。(These are cases of RBF, GRNN and PNN neural networks can be realized. One is RBF-NIR spectroscopy gasoline octane prediction, GRNN, PNN-Iris species identification. Both c
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