X. Yao and Y. Liu. A new evolutionary system for evolving arti cial neural networks. IEEE Transactions on Neural Networks, 8(3):694713, 1997.  Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Applying LSTM to Time Series Predictable Through.. - Gers, Eck, Schmidhuber (2001) (2 citations) (Correct)
....Cell Structures combined with Local Linear Models. EBPTTRNN [13] RNNs with 10 adaptive delayed connections trained with BPTT combined with a constructive algorithm. BGALR [14] A genetic algorithm with adaptable input time window size (Breeder Genetic Algorithm with Line Recombination) EPNet [15]: Evolved neural nets (Evolvable Programming Net) SOM [16] A Self organizing map. Neural Gas [17] The Neural Gas algorithm for a Vector Quantization approach. AMB [18] An improved memory based regression (MB) method [19] that uses an adaptive approach to automatically select the number of ....
X. Yao and Y. Liu, \A new evolutionary system for evolving articial neural networks, " IEEE Transactions on Neural Networks, vol. 8, pp. 694-713, May 1997.
Long Short-Term Memory in Recurrent Neural Networks - Gers (2001) (2 citations) (Correct)
....Asselin de Beauville (2000) RNNs with 10 adaptive delayed connections trained with BPTT combined with a constructive algorithm. BGALR Falco, Iazzetta, Natale, and Tarantino (1998 ) A genetic algorithm with adaptable input time window size (Breeder Genetic Algorithm with Line Recombination) EPNet Yao and Liu (1997) Evolved neural nets (Evolvable Programming Net) SOM Vesanto (1997) A Self organizing map. Neural Gas Martinez, Berkovich, and Schulten (1993) The Neural Gas algorithm for a Vector Quantization approach. AMB Bersini, Birattari, and Bontempi (1998) An improved memory based regression (MB) method ....
.... ATNN (Day Davenport, 1993) 20 120 7 10 7 0.005 Cascade Correlation (Crowder, 1990) 20 250 0.04 0.17 DCS LLM (Chudy Farkas, 1998) 200 200 2 1 10 5 0.0055 0.03 EBPTTRNN (R. Bone et al. 2000) 6 65 0.0115 BGALR (Falco et al. 1998 ) 16 150 0.2373 0. 267 EPNet (Yao Liu, 1997) 10 100 1 10 4 0.02 0.06 SOM 10x10 1:5 10 4 0.013 0.06 (Vesanto, 1997) 35x35 1:5 10 4 0.0048 0.022 Neural Gas (Martinez et al. 1993) 400 3600 2 10 4 0.05 AMB (Bersini et al. 1998) 0.054 MLP, p=T 4 25 1 10 4 0.0102 0.0511 0.4604 MLP, p=T 16 97 1 ....
Yao, X., & Liu, Y. (1997). A new evolutionary system for evolving articial neural networks. IEEE Transactions on Neural Networks, 8 (3), 694-713.
The Improvement and Comparison of different Algorithms for.. - Erhard, al. (1997) (1 citation) (Correct)
....are several This work was supported by the Thuringian Ministry for Science, Research, and Arts (Project ITHERA) pruning algorithms (e.g. CFP97, Set97] which iteratively reduce the network s complexity. Evolutionary optimization of the network topology has also been investigated extensively [YL97, Man94, BZ94]. In this paper, we investigate a technique using the A Algorithm (A ) for nding optimal network topologies. This new idea was proposed in [DGW97] It was proved that under certain conditions, the A nds the smallest network topology for a given pattern set in minimal time. The A searches a ....
X. Yao and Y. Liu. A New Evolutionary System for Evolving Articial Neural Networks. IEEE Transactions on Neural Networks, 8(3):694-713, 1997.
Applying LSTM to Time Series Predictable Through.. - Gers, Eck, Schmidhuber (2001) (2 citations) (Correct)
....de Beauville (2000) RNNs with 10 adaptive delayed connections trained with BPTT combined with a constructive algorithm. BGALR Falco, Iazzetta, Natale, and Tarantino (1998) A genetic algorithm with adaptable input time window size (Breeder Genetic Algorithm with Line Recombination) EPNet Yao and Liu (1997) Evolved neural nets (Evolvable Programming Net) SOM Vesanto (1997) A Self organizing map. Neural Gas Martinez, Berkovich, and Schulten (1993) The Neural Gas algorithm for a Vector Quantization approach. AMB Bersini, Birattari, and Bontempi (1998) An improved memory based regression ....
....(Day Davenport, 1993) 20 120 7 10 7 0.005 Cascade Correlation (Crowder, 1990) 20 250 0.04 0.17 DCS LLM (Chudy Farkas, 1998) 200 200 2 1 10 5 0.0055 0.03 EBPTTRNN (Bon e et al. 2000) 6 65 0.0115 BGALR (Falco et al. 1998) 16 150 0.2373 0. 267 EPNet (Yao Liu, 1997) 10 100 1 10 4 0.02 0.06 SOM 10x10 1:5 10 4 0.013 0.06 (Vesanto, 1997) 35x35 1:5 10 4 0.0048 0.022 Neural Gas (Martinez et al. 1993) 400 3600 2 10 4 0.05 AMB (Bersini et al. 1998) 0.054 MLP, p=T 4 25 1 10 4 0.0102 0.0511 0.4604 MLP, p=T ....
Yao, X., & Liu, Y. (1997). A new evolutionary system for evolving articial neural networks. IEEE Transactions on Neural Networks, 8 (3), 694-713.
Evolving Structure and Function of Neurocontrollers - Pasemann, Dieckmann, Steinmetz (1999) (Correct)
....on the basis of a stochastic process. In contrast to genetic algorithms, which are often only used for optimizing a speci c feedforward architecture [8] 11] it does not quantize the network parameters like weights and bias terms. With respect to algorithms like, for instance, EPNet [12], it does not include an individual learning procedure, which exists naturally only for feedforward networks and problems where an error function or reinforcement signals are available. For the solution of extended problems (more complex environments or sensorimotor systems) the synthesis of ....
....study in their own right. The algorithm still can be optimized. For instance the evaluation operator in the variation evaluation selection cycle may be substituted by an evaluationlearning cycle, if an appropriate learning procedure is at hand. This is done, for example, in the EPNet approach in [12] for the case of feedforward networks. 11 For recurrent networks, and using a behavior based approach to neurocontrollers, there is no universal learning rule to apply. Using only the internal states of a neural network, we are trying to optimize a given recurrent network structure by using ideas ....
Yao, X., and Y. Liu (1997), A new evolutionary system for evolving articial neural networks, IEEE Transactions on Neural Networks, 8, 694 - 713. 13
An Indexed Bibliography of Genetic Algorithms in the Australia - Alander (1999) (Correct)
....[111] IEE Proceedings C: Generation, Transmission and Distribution, 16, 102] IEE Proceedings Generation, Transmission and Distribution, 171] IEE Proceedings, Vis. Image Signal Process. UK) 26] IEEE Aerospace and Electronic Systems Magazine, 46] IEEE Transaction on Neural Networks, [199] IEEE Transaction on Power Systems, 206] IEEE Transactions on Magnetics, 210] IEEE Transactions on Plasma Science, 212] IEEE Transactions on Power Systems, 118, 121, 197] IEEE Transactions on Signal Processing, 215] IEEE Transactions on Systems, Man, and Cybernetics, A, Systems Humans, ....
....Lee, W. T. 289] Authors 15 Lennox, Barry, 140] Lewis, Paul S. 266] Li, An, 98, 138, 171, 204] Li, D. G. 160] Li, T. 241] Li, Yan Da, 285] Lim, M. H. 347] Lin, G. 40] Lin, Guangming, 116, 164] List, Ron D. 33, 74, 111] Liu, Faye, 38] Liu, Y. 133] Liu, Yong, [105, 145, 189, 199, 211] Louis, S. J. 41] Lund, T. 212] Luong, L. H. S. 83, 120] Ma, J. T. 121] Mackay, Ian R. 254] Macleod, I. 40, 116] Maddalena, D. J. 173] Maher, M. L. 117, 149, 152] Maher, Mary Lou, 18, 27, 49, 122, 139, 168, 312] Makarov, Yuri V. 193] Malgeri, M. 276] Mandischer, ....
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Xin Yao and Yong Liu. A new evolutionary system for evolving articial neural networks. IEEE Transaction on Neural Networks, 8(3):694-713, May 1997. ga97bYao.
Evolving Modular Neural Networks - To Solve Challenging (2003) (Correct)
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X. Yao and Y. Liu. A new evolutionary system for evolving arti cial neural networks. IEEE Transactions on Neural Networks, 8(3):694713, 1997.
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