Výsledky vyhledávání - "Rajalakshmi Gurusamy"

Akademický článek

H2O-Based Stochastic Gradient Descent Grid Search Using Ridge Regression Techniques for Traffic Flow Forecasting

Autor: Rajalakshmi Gurusamy, Siva Ranjani Seenivasan

Publikováno v: Brazilian Archives of Biology and Technology, Vol 67 (2024)

Abstract Efficient and exact traffic flow forecasting is critical for intelligent transportation systems. The number of model generations increases the computational complexity of deep neural network (DNN) models. Overfitting occurs when hyperparamet

Externí odkaz: https://doaj.org/article/441498120ae44351a4c859a2e93a42d1

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DGSLSTM: Deep Gated Stacked Long Short-Term Memory Neural Network for Traffic Flow Forecasting of Transportation Networks on Big Data Environment

Autor: Rajalakshmi Gurusamy, Siva Ranjani Seenivasan

Publikováno v: Big data.

Deep learning and big data techniques have become increasingly popular in traffic flow forecasting. Deep neural networks have also been applied to traffic flow forecasting. Furthermore, it is difficult to determine whether neural networks can be used

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62dfc50406af93261650256f8935923d
https://pubmed.ncbi.nlm.nih.gov/35143339

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