Recurrent Neural Networks
暂无分享,去创建一个
Stefan C. Kremer | Sajid Marhon | S. C. Kremer | Christopher J. F. Cameron | Christopher J. F. Cameron | Sajid A. Marhon
[1] Jeffrey L. Elman,et al. Distributed Representations, Simple Recurrent Networks, and Grammatical Structure , 1991, Mach. Learn..
[2] Amir F. Atiya. Learning on a General Network , 1987, NIPS.
[3] C. Lee Giles,et al. Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks , 1992, Neural Computation.
[4] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[5] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[6] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[7] C.E. Shannon,et al. Communication in the Presence of Noise , 1949, Proceedings of the IRE.
[8] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[9] A. N. Jha,et al. Nonlinear System Identification using Neural Networks , 2007 .
[10] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[11] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[12] C. Lee Giles,et al. Learning a class of large finite state machines with a recurrent neural network , 1995, Neural Networks.
[13] Padhraic Smyth,et al. Discrete recurrent neural networks for grammatical inference , 1994, IEEE Trans. Neural Networks.
[14] Steven W. Smith,et al. The Scientist and Engineer's Guide to Digital Signal Processing , 1997 .
[15] Garrison W. Cottrell,et al. A technique for adapting to speech rate , 1993, Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop.
[16] Feng Qian,et al. Identification and control of nonlinear systems by a time-delay recurrent neural network , 2009, Neurocomputing.
[17] Sepp Hochreiter,et al. Untersuchungen zu dynamischen neuronalen Netzen , 1991 .
[18] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[19] Michael C. Mozer,et al. A Focused Backpropagation Algorithm for Temporal Pattern Recognition , 1989, Complex Syst..
[20] Mikel L. Forcada,et al. Recursive Hetero-associative Memories for Translation , 1997, IWANN.
[21] Fakhri Karray,et al. Soft Computing and Tools of Intelligent Systems Design: Theory and Applications , 2004 .
[22] Tomás Oliveira e Silva,et al. Laguerre Filters: An Introduction , 1995 .
[23] Ah Chung Tsoi,et al. FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling , 1991, Neural Computation.
[24] Ah Chung Tsoi,et al. Locally recurrent globally feedforward networks: a critical review of architectures , 1994, IEEE Trans. Neural Networks.
[25] Jürgen Schmidhuber,et al. A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks , 1992, Neural Computation.
[26] S. Renals,et al. A study of network dynamics , 1990 .
[27] U. Harigopal,et al. Grammatical inference using higher order recurrent neural networks , 1993, 1993 (25th) Southeastern Symposium on System Theory.
[28] Iickho Song,et al. Identification of Finite State Automata With a Class of Recurrent Neural Networks , 2010, IEEE Transactions on Neural Networks.
[29] Michael C. Mozer,et al. Induction of Multiscale Temporal Structure , 1991, NIPS.
[30] John F. Kolen,et al. Field Guide to Dynamical Recurrent Networks , 2001 .
[31] C. L. Giles,et al. Second-order recurrent neural networks for grammatical inference , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[32] Pastora Vega,et al. State space neural network. Properties and application , 1998, Neural Networks.
[33] Terrence J. Sejnowski,et al. Parallel Networks that Learn to Pronounce English Text , 1987, Complex Syst..
[34] 守屋 悦朗,et al. J.E.Hopcroft, J.D. Ullman 著, "Introduction to Automata Theory, Languages, and Computation", Addison-Wesley, A5変形版, X+418, \6,670, 1979 , 1980 .
[35] Geoffrey E. Hinton,et al. Phoneme recognition using time-delay neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..
[36] Jyh-Ming Kuo,et al. Adaptation of memory depth in the gamma filter , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[37] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[38] Eduardo Sontag,et al. Turing computability with neural nets , 1991 .
[39] Stephen A. Billings,et al. Non-linear system identification using neural networks , 1990 .
[40] C. L. Giles,et al. Dynamic recurrent neural networks: Theory and applications , 1994, IEEE Trans. Neural Networks Learn. Syst..
[41] Yasuaki Kuroe. Representation and Identification of Finite State Automata by Recurrent Neural Networks , 2004, ICONIP.
[42] M. Gori,et al. BPS: a learning algorithm for capturing the dynamic nature of speech , 1989, International 1989 Joint Conference on Neural Networks.
[44] C. Lee Giles,et al. Constructing deterministic finite-state automata in recurrent neural networks , 1996, JACM.
[45] Robert B. Allen,et al. Learning of stable states in stochastic asymmetric networks , 1990, IEEE Trans. Neural Networks.
[46] Malur K. Sundareshan,et al. Identification and decentralized adaptive control using dynamical neural networks with application to robotic manipulators , 1993, IEEE Trans. Neural Networks.
[47] Michael I. Jordan. Supervised learning and systems with excess degrees of freedom , 1988 .
[48] Hock Chuan Chua,et al. Grammatical Inference using an Adaptive Recurrent Neural Network , 1998, Neural Processing Letters.
[49] José Carlos Príncipe,et al. The gamma-filter-a new class of adaptive IIR filters with restricted feedback , 1993, IEEE Trans. Signal Process..
[50] Padhraic Smyth,et al. Learning Finite State Machines With Self-Clustering Recurrent Networks , 1993, Neural Computation.
[51] Krzysztof Patan. Locally Recurrent Neural Networks , 2008 .
[52] Giovanni Soda,et al. Local Feedback Multilayered Networks , 1992, Neural Computation.
[53] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[54] Geoffrey E. Hinton,et al. OPTIMAL PERCEPTUAL INFERENCE , 1983 .
[55] Hava T. Siegelmann,et al. On the power of sigmoid neural networks , 1993, COLT '93.