
Optimum Control of Shipboard Turbine Generator Predicted Operation Based on Neural Network
Author(s) -
Yongxin Zhu,
Xiaofeng Zhang,
Jing Huang
Publication year - 2018
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/452/3/032108
Subject(s) - generator (circuit theory) , reliability (semiconductor) , turbine , control theory (sociology) , power (physics) , signal (programming language) , artificial neural network , pid controller , transmission (telecommunications) , process (computing) , control signal , steam turbine , computer science , engineering , automotive engineering , oscillation (cell signaling) , control (management) , control engineering , temperature control , mechanical engineering , electrical engineering , physics , quantum mechanics , artificial intelligence , programming language , operating system , machine learning , biology , genetics