A Novel Machine Learning Model Using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption

Xinyu Li; Yi Zuo; Tieshan Li; C. L. Philip Chen

doi:10.1007/978-981-99-8082-6_9

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A Novel Machine Learning Model Using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption

Xinyu Li Yi Zuo Tieshan Li C. L. Philip Chen

Year: 2023 Lecture notes in computer science Pages: 108-118 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-8082-6_9

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Keywords:

Computer science Convolutional neural network Artificial intelligence Feature (linguistics) Deep learning Artificial neural network Reduction (mathematics) Pattern recognition (psychology) Mean squared error

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Topics

Maritime Transport Emissions and Efficiency

Physical Sciences → Environmental Science → Environmental Engineering

Vehicle emissions and performance

Physical Sciences → Engineering → Automotive Engineering

Engineering Applied Research

Physical Sciences → Engineering → Civil and Structural Engineering

A Novel Machine Learning Model Using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption

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Citation History

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