Elman Network with Embedded Memory for System Identification
暂无分享,去创建一个
[1] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[2] Kwang Y. Lee,et al. Diagonal recurrent neural networks for dynamic systems control , 1995, IEEE Trans. Neural Networks.
[3] Mekki Ksouri,et al. A comparative study on the channel modeling using feedforward and recurrent neural network structures , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).
[4] Michael I. Jordan. Attractor dynamics and parallelism in a connectionist sequential machine , 1990 .
[5] Seppo J. Ovaska,et al. A modified Elman neural network model with application to dynamical systems identification , 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).
[6] Duc Truong Pham,et al. Identification of linear and nonlinear dynamic systems using recurrent neural networks , 1993, Artif. Intell. Eng..
[7] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[8] J.E.W. Holm,et al. Training recurrent neural networks with leap-frog , 1998, IEEE International Symposium on Industrial Electronics. Proceedings. ISIE'98 (Cat. No.98TH8357).
[9] Hung Hom. Process Identification using a Modified Elman Neural Net , 1994 .
[10] D. T. Psent,et al. Training of Elman networks and dynamic system modelling , .
[11] Tsungnan Lin,et al. What to remember: how memory order affects the performance of NARX neural networks , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[12] Von-Wun Soo,et al. A comparative study of recurrent neural network architectures on learning temporal sequences , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).
[13] Dervis Karaboga,et al. Training recurrent neural networks by using parallel tabu search algorithm based on crossover operation , 2004, Eng. Appl. Artif. Intell..
[14] Seref Sagiroglu,et al. A New Approach Based on Recurrent Neural Networks for System Identification , 2003, ISCIS.
[15] Bernhard Sendhoff,et al. An Extended Elman Net for Modeling Time Series , 1997, ICANN.
[16] Lakhmi C. Jain,et al. Recurrent Neural Networks: Design and Applications , 1999 .
[17] Peter Tiňo,et al. Learning long-term dependencies is not as difficult with NARX recurrent neural networks , 1995 .
[18] C. Lee Giles,et al. How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies , 1998, Neural Networks.
[19] Duc Truong Pham,et al. Training Elman and Jordan networks for system identification using genetic algorithms , 1999, Artif. Intell. Eng..
[20] Duc Truong Pham,et al. Neural Networks for Identification, Prediction and Control , 1995 .
[21] C A Bailer-Jones,et al. A recurrent neural network for modelling dynamical systems. , 1998, Network.
[22] Xuemei Ren,et al. Recurrent neural networks for identification of nonlinear systems , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).
[23] Sun-Yuan Kung,et al. The past is important: a method for determining memory structure in NARX neural networks , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[24] Ji-Xin Qian,et al. Recurrent neural networks for recursive identification of nonlinear dynamic process , 1994, Proceedings of 1994 IEEE International Conference on Industrial Technology - ICIT '94.
[25] M. V. Rossum,et al. In Neural Computation , 2022 .
[26] D. P. Kwok,et al. Process identification using a modified Elman neural net , 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.