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典型文献
Analytical redundancy of variable cycle engine based on variable-weights neural network
文献摘要:
In this paper,variable-weights neural network is proposed to construct variable cycle engine's analytical redundancy,when all control variables and environmental variables are chang-ing simultaneously,also accompanied with the whole engine's degradation.In another word,variable-weights neural network is proposed to solve a multi-variable,strongly nonlinear,dynamic and time-varying problem.By making weights a function of input,variable-weights neural net-work's nonlinear expressive capability is increased dramatically at the same time of decreasing the number of parameters.Results demonstrate that although variable-weights neural network and other algorithms excel in different analytical redundancy tasks,due to the fact that variable-weights neural network's calculation time is less than one fifth of other algorithms,the calculation efficiency of variable-weights neural network is five times more than other algorithms.Variable-weights neural network not only provides critical variable-weights thought that could be applied in almost all machine learning methods,but also blazes a new way to apply deep learning methods to aeroengines.
文献关键词:
作者姓名:
Zihao ZHANG;Xianghua HUANG;Tianhong ZHANG
作者机构:
Jiangsu Province Key Laboratory of Aerospace Power System,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
引用格式:
[1]Zihao ZHANG;Xianghua HUANG;Tianhong ZHANG-.Analytical redundancy of variable cycle engine based on variable-weights neural network)[J].中国航空学报(英文版),2022(10):84-94
A类:
blazes
B类:
Analytical,redundancy,cycle,weights,neural,network,In,this,paper,proposed,construct,analytical,when,control,variables,environmental,are,chang,simultaneously,also,accompanied,whole,degradation,another,word,solve,multi,strongly,nonlinear,dynamic,varying,problem,By,making,function,input,expressive,capability,increased,dramatically,same,decreasing,number,parameters,Results,demonstrate,that,although,algorithms,excel,different,tasks,due,fact,calculation,less,than,one,fifth,efficiency,five,times,more,Variable,only,provides,critical,thought,could,applied,almost,machine,learning,methods,but,new,way,apply,deep,aeroengines
AB值:
0.501385
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