DEEP NEURAL NETWORKS COMBINING MULTI-TASK LEARNING FOR SOLVING DELAY INTEGRO-DIFFERENTIAL EQUATIONSOA
Deep neural networks(DNNs)are effective in solving both forward and inverse problems for nonlinear partial differential equations(PDEs).However,conventional DNNs are not effective in handling problems such as delay differenti…查看全部>>
WANG Chen-yao;SHI Feng
School of Science,Harbin Institaute of Technology,Shenzhen 518055,ChinaSchool of Science,Harbin Institaute of Technology,Shenzhen 518055,China
数学
Delay integro-differential equationMulti-task learningparameter sharing structuredeep neural networksequential training scheme
《数学杂志》 2025 (1)
P.13-38,26
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