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Evolutionary Artificial Neural Networks that Learn and Generalise Well (1996)  (Make Corrections)  (14 citations)
Xin Yao, Yong Liu
Proc. of the 1996 IEEE Int. Conf. on Neural Networks (ICNN'96), Vol. on Plenary, Panel and Special Sessions



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Abstract: Evolutionary artificial neural networks (EANNs) refer to a special class of artificial neural networks (ANNs) in which evolution is another fundamental form of adaptation in addition to learning. The evolution in EANNs is often simulated by genetic algorithms (GAs), evolutionary programming (EP), or other evolutionary algorithms. This paper describes an EP-based EANNs which learn both their weights and architectures through the combination of a hybrid learning algorithm and the EP algorithm. A... (Update)

Context of citations to this paper:   More

.... Neural Networks (EANNs) which adapt their architectures through simulated evolution and their weights through learning (training) [10]. Neural networks are based on local learning, while the evolutionary approach is not [11] Concerning FPGAs, this approach could be...

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Cited by:   More
Recent New Development in Evolutionary Programming - Yao   (Correct)
Evolvable Hardware as a New Computer Architecture - Torresen (2002)   (Correct)
On Evolving Modular Neural Networks - Salama (2000)   (Correct)

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BibTeX entry:   (Update)

X. Yao and Y. Liu, "Evolutionary artificial neural networks that learn and generalise well," in 1996 IEEE International Conference on Neural Networks, Washington, DC, USA, Volume on Plenary, Panel and Special Sessions, pp. 159--164, IEEE Press, New York, NY, 3-6 June 1996. http://citeseer.ist.psu.edu/article/yao96evolutionary.html   More

@inproceedings{ yao96evolutionary,
    author = "Xin Yao and Yong Liu",
    title = "Evolutionary artificial neural networks that learn and generalise well",
    booktitle = "Proc. of the 1996 {IEEE} {I}nt. {C}onf. on {N}eural {N}etworks ({ICNN}'96), {V}ol. on {P}lenary, {P}anel and {S}pecial {S}essions",
    address = "?",
    pages = "159--164",
    year = "1996",
    url = "citeseer.ist.psu.edu/article/yao96evolutionary.html" }
Citations (may not include all citations):
2177   Programs for Machine Learning (context) - Quinlan - 1993
372   The cascade-correlation learning architecture - Fahlman, Lebiere - 1990
245   Artificial Intelligence Through Simulated Evolution (context) - Fogel, Owens et al. - 1966
245   Evolutionary Computation: Towards a New Philosophy of Machin.. (context) - Fogel - 1995
95   An evolutionary algorithm that constructs recurrent neural n.. - Angeline, Sauders et al. - 1994
52   Evolutionary artificial neural networks - Yao - 1995
52   Evolutionary artificial neural networks - Yao - 1993
36   Evolving neural networks (context) - Fogel, Fogel et al. - 1990
35   Improving model selection by nonconvergent methods (context) - Finnoff, Hergent et al. - 1993
31   System Identification Through Simulated Evolution: A Machine.. (context) - Fogel - 1991
24   Evolving recurrent perceptrons for time-series modeling (context) - McDonnell, Waagen - 1994
21   A constructive algorithm that converges for real-valued inpu.. (context) - Burgess - 1994
21   An empirical study of genetic operators in genetic algorithm.. - Yao - 1993
20   Ellis Horwood Limited (context) - Michie, Spiegelhalter et al. - 1994
15   Study of a growth algorithm for a feedforward network (context) - Nadal - 1989
10   Evolving artificial neural networks for medical applications - Yao, Liu - 1995



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://csadfa.cs.adfa.edu.au/~xin/conf_papers.html):   More
Evolving Artificial Neural Networks for Medical Applications - Yao, Liu (1995)   (Correct)
Fast Evolutionary Programming - Yao, Liu (1996)   (Correct)
Automatic Acquisition of Strategies by Co-evolutionary Learning - Yao   (Correct)

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