Chen et al., 2020 - Google Patents
Short-term traffic flow prediction based on ConvLSTM modelChen et al., 2020
- Document ID
- 6290552253566708714
- Author
- Chen X
- Xie X
- Teng D
- Publication year
- Publication venue
- 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC)
External Links
Snippet
This paper proposes a estimation model based on Convolutional Long Short Term Memory (ConvLSTM) model to estimate short-term traffic flow. ConvLSTM is an improved algorithm based on Long Short Term Memory (LSTM) Network. It not only establishes timing …
- 230000001537 neural 0 abstract description 4
Classifications
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- G06N3/02—Computer systems based on biological models using neural network models
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- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06K9/6279—Classification techniques relating to the number of classes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06N7/00—Computer systems based on specific mathematical models
- G06N7/005—Probabilistic networks
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