Funder
Natural Science Foundation of China
Natural Science Foundation of Shandong Province, China
University of Jinan, China
Reference46 articles.
1. Recurrent neural networks are universal approximators;Schäfer;Int. J. Neural Syst.,2007
2. Turing computability with neural nets;Siegelmann;Appl. Math. Lett.,1991
3. Learning long-term dependencies with gradient descent is difficult;Bengio;IEEE Trans. Neural Netw.,2002
4. R. Pascanu, T. Mikolov, Y. Bengio, On the difficulty of training recurrent neural networks, in: International Conference on Machine Learning, vol. 52, 2013, pp. 1310-1318.
5. Reservoir computing approaches to recurrent neural network training;Lukoševičius;Comp. Sci. Rev.,2009
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