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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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人工神经网络\神经网络的程序和训练数据 股票预测-Artificial Neural Networks \ neural network stock prediction programs and training data
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Time Series prediction with Feed-Forward Neural Networks
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The Use of some Paradigms of Neural Networks in Prediction of Dielectric
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基于径向基神经网络的设备运行状态新信息加权预测模型研究-New Information Weighted prediction model based devices running radial basis function neural networks
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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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Multi-instance learning originates the investigation on drug activity prediction, where the task is to predict whether an unseen molecule could be used to make some drug.-Multi-instance learning originates the investigation on drug activity predicti
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Multi-objective evolutionary optimization of
polynomial neural networks for fatigue life
modelling and prediction of unidirectional
carbon-fibre-reinforced plastics composites
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Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly pe
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Available Bandwidth Prediction using Wavelet
Neural Network in Mobile Ad-hoc Networks
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