Neural Network Optimized by Genetic Algorithm of Models for Real-Time Forecast of Traffic Flow

Neural Network Optimized by Genetic Algorithm of Models for Real-Time Forecast of Traffic Flow

Short-term traffic flow forecast plays an important role in transit scheduling. A high-order generalized neural network model is constructed to actualize dynamic forecast on-line and a hybrid genetic algorithm and identical dimension recurrence idea are performed to optimize the structure and shape...

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Bibliographic Details
Main Authors: Jun Hai-min, Pei Yu-long
Format: Article
Language:English
Published: University of Žilina 2010-09-01
Series:Communications
Subjects:
traffic flow forecast
neural network
genetic algorithm
relative error
Online Access:https://komunikacie.uniza.sk/artkey/csl-201003-0016_neural-network-optimized-by-genetic-algorithm-of-models-for-real-time-forecast-of-traffic-flow.php

Internet

https://komunikacie.uniza.sk/artkey/csl-201003-0016_neural-network-optimized-by-genetic-algorithm-of-models-for-real-time-forecast-of-traffic-flow.php

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