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Regional Logistics Quantity Prediction Based on the Chaotic Neural Network

机译:基于混沌神经网络的区域物流量预测

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The paper set up regional logistics prediction model based on the chaotic nerve network according to regional logistics characteristic, judge regional logistics chaotic characteristic Utilize phase space reconstruction technology at first, Positive lyapunov exponent and correlation dimension prove the regional logistics has Chaotic characteristics. Then set up neural network prediction models on the basis chaotic judgement.
机译:基于区域神经网络的混沌特征,建立了基于混沌神经网络的区域物流预测模型,首先利用相空间重构技术判断区域物流的混沌特征,利雅普诺夫指数和相关维数都证明了区域物流具有混沌特征。然后在混沌判断的基础上建立神经网络预测模型。

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