This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our
Privacy Policy.
Accept
Gain insight into
research trends
and
influential papers
with
Research Intelligence.
Search everything
Product tour
About us
Our data
Use cases
Pricing
Sign in
Sign up
Home
Research Intelligence
Pro
Expert Finder
Pro
Scinapse Trends
Paper Search
Journal Search
Collections
Favorites
History
Notes
Keyword Alerts
Submit Feedback
Settings
doi.org/10.1016/j.neucom.2018.12.016
Other
Traffic flow prediction using LSTM with feature enhancement
Bailin Yang
13
,
Shulin Sun
39
,
...,
Yan Tian
16
View all 5 authors
Neurocomputing
5.50
Volume: 332, Pages: 320 - 327
Published
: Dec 29, 2018
319
Citations
Source
Cite
Save
Basic Info
Analytics
References
Citations
Abstract
No abstract.
Paper Fields
Operating system
Value (mathematics)
Data mining
Recurrent neural network
Mathematics
Term (time)
Biology
Computer science
Process (computing)
Flow (mathematics)
Quantum mechanics
Paleontology
Machine learning
Philosophy
Series (stratigraphy)
Composite material
Range (aeronautics)
Genetics
Algorithm
Time series
Linguistics
Dependency (UML)
Feature (linguistics)
Long short term memory
Artificial intelligence
Traffic flow (computer networking)
Geometry
Computer security
Artificial neural network
Materials science
Sequence (biology)
Physics
Time sequence
Paper Details
Title
Traffic flow prediction using LSTM with feature enhancement
DOI
doi.org/10.1016/j.neucom.2018.12.016
Published Date
Dec 29, 2018
Journal
Neurocomputing
Volume
332
Pages
320 - 327
Notes
To use the Note feature, you need to be logged in. Please
sign in.
History
View all history
Targeted PET imaging strategy to differentiate malignant from inflamed lymph nodes in diffuse large B-cell lymphoma
Step 1. Scroll down for details & analytics related to the paper.
Discover a range of citation analytics, paper references, a list of cited papers, and more.
Skip
Next