This paper presents a hybrid model for urban arterial travel time prediction based on the so-called state space neural networks (SSNN) and the extended Kalman Filter (EKF).
提出了一种基于状态空间神经网络(SSNN)和拓展卡尔曼滤波(ekf)的混合式行程时间预测模型。
The neural network model contains the feedback of the state neurons and takes the form of state space representation.
该神经网络模型包含内部状态神经元的反馈并具有状态空间形式。
The neural network model contains the feedback of the state neurons and takes the form of state space representation.
该神经网络模型包含内部状态神经元的反馈并具有状态空间形式。
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