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How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies.

, , и . Neural Networks, 11 (5): 861-868 (1998)

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A Delay Damage Model Selection Algorithm for NARX Neural Networks, , , и . IEEE Transactions on Signal Processing, 45 (11): 2719--2730 (1997)Escrow services and incentives in peer-to-peer networks., , и . EC, стр. 85-94. ACM, (2001)What NARX Networks Can Compute., , и . SOFSEM, том 1012 из Lecture Notes in Computer Science, стр. 95-102. Springer, (1995)Function Approximation with the Sweeping Hinge Algorithm., , и . NIPS, стр. 535-541. The MIT Press, (1997)Representation and Induction of Finite State Machines using Time-Delay Neural Networks., , , и . NIPS, стр. 403-409. MIT Press, (1996)An experimental comparison of recurrent neural networks., и . NIPS, стр. 697-704. MIT Press, (1994)Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks)., , и . Neural Comput., 13 (6): 1379-1414 (2001)How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies., , и . Neural Networks, 11 (5): 861-868 (1998)An analysis of noise in recurrent neural networks: convergence and generalization., , и . IEEE Trans. Neural Networks, 7 (6): 1424-1438 (1996)A delay damage model selection algorithm for NARX neural networks., , , и . IEEE Trans. Signal Process., 45 (11): 2719-2730 (1997)