搜索资源列表
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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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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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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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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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this code is for time series prediction using ANN neural networks.
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this code product to oil price prediction with time series using combination of neural networks and Imperialist competitive algorithm (ICA)
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该代码为基于BP神经网络的预测算法。对于复杂的非线性系统，难以用数学方法准确建模，在这种情况下，可以建立BP神经网络表达这些非线性系统。(The code is a prediction algorithm based on BP neural network. It is difficult for complex nonlinear systems to be modeled accurately by mathematical methods. In this case, BP neura
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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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