[2] [2] HAN S,KANG J L,MAO H Z,et al.ESE:efficient speech recognition engine with sparse LSTM on FPGA［C］//Proceedings of the ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.New York,NY:Association for Computing Machinery,2017:75-84.

[3] [3] ZEYER A,IRIE K,SCHLTER R,et al.Improved training of end-to-end attention models for speech recognition［C］//The 19th Annual Conference of the International Speech Communication Association.Hyderabad:ISCA, 2018:7-11.

[4] [4] STAHLBERG F.Neural machine translation:a review［J］.Journal of Artificial Intelligence Research,2019,69:343-418.

[9] [9] SCHVANEVELDT R W,GOLDSMITH T E,BENSON A E,et al.Neural network models of air combat maneuvering［R］.Brooks:Brooks Air Force Base,1992.

[14] [14] MNIH V,HEESS N,GRAVES A,et al.Recurrent models of visual attention［C］//Proceedings of the 27th International Conference on Neural Information Processing Systems.Montreal:MIT Press,2014:2204-2212.

[15] [15] BAHDANAU D,CHO K,BENGIO Y.Neural machine translation by jointly learning to align and translate［C］//The 3rd International Conference on Learning Representations.San Diego:［s.n.］,2015:1-15.

[16] [16] LUONG M T,PHAM H,MANNING C D.Effective approaches to attention-based neural machine translation［C］//Proceedings of the Conference on Empirical Methods in Natural Language Processing.Lisbon:Association for Computational Linguistics,2015:1412-1421.

[17] [17] VASWANI A,SHAZEER N,PARMAR N,et al.Attention is all you need［C］//Proceedings of the 31st International Conference on Neural Information Processing Systems.Red Hoo:Curran Associates Inc.,2017:6000-6010.

[18] [18] YANG Z C,YANG D Y,DYER C,et al.Hierarchical attention networks for document classification［C］//Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.San Diego:Association for Computational Linguistics,2016:1480-1489.

[19] [19] GRAVES A.Generating sequences with recurrent neural networks［EB/OL］.(2014-06-05)［2022-05-10］.https: //doi.org/10.48550/arXiv.1308.0850.