Dynamic Optimization Long Short-Term Memory Model Based on Data Preprocessing for Short-Term Traffic Flow Prediction

Dynamic Optimization Long Short-Term Memory Model Based on Data Preprocessing for Short-Term Traffic Flow Prediction

In order to eliminate outliers in traffic flow data collection and promote the generalization performance of traffic flow prediction, this paper proposes a dynamic optimization long short-term memory (LSTM) model based on data preprocessing for short-term traffic flow prediction. A new classificatio...

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Bibliographic Details
Main Authors: Yang Zhang, Dongrong Xin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Traffic flow prediction
deep learning
long short-term memory
support vector regression
particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/9093823/

Internet

https://ieeexplore.ieee.org/document/9093823/

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