Assessment of Hull and Propeller Performance Degradation Based on TSO-GA-LSTM
Guolei Huang,
Yifan Liu,
Jianjian Xin
et al.
Abstract:Evaluating the degradation of hull and ship performance and exploring their degradation pathways is crucial for developing scientific and reasonable ship maintenance plans. This paper proposes a two-stage optimization (TSO) algorithm that combines the Genetic Algorithm (GA) and Long Short-Term Memory (LSTM) network, capable of simultaneously optimizing input features and model parameters to enhance the accuracy and generalization ability of speed prediction models. Additionally, a performance degradation asses… Show more
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