Showing results for A road hazard state prediction method based on BP neural network.
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Oct 1, 2019 · This work addresses the task of road hazard state evaluation in traffic scenarios with MEC(multiple access edge computing) available ...
This study overview and summarizes the different forms of neural network models such as the single layer perceptron (SLP) neural network, the multilayer layer ...
Utilizing Genetic-Neural System Fusion for Advanced Prediction and Classification of Damage Intensity in Road Traffic Accidents. Conference Paper. May 2024.
Abstract. In this paper we show different evolutionary algorithms in order to optimise on-line weights of feed-forward neural networks when applied to short ...
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So this paper proposes an Elman neural network highway state prediction method considering the risky driving behavior. In this method, expert scoring method and ...
Sep 30, 2022 · In this paper, a path prediction model (GA–ACO–BP) combining a genetic algorithm, an ant colony algorithm and a BP neural network is proposed.
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This study proposes a novel adaptive spatial-temporal data generation method to achieve precise ceiling temperature perception in tunnel fires based on the ...
Apr 15, 2022 · The method first obtains predicted data using the gray GM (1, 1) model, then trains the BP neural network using the GM (1, 1) model's predicted ...
This paper proposes an Elman neural network highway state prediction method considering the risky driving behavior.
The BP neural network prediction model of highway freight volume is established, and the model is coded and calculated in the MATLAB software environment.
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