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Genetic Algorithms and Their Applications to the Design of Neural Networks (1993)  (Make Corrections)  (5 citations)
Antonia J. Jones
Neural Computing and Applications



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Abstract: this article we assume that the reader is familiar with the basic ideas of neural networks but perhaps less conversant with genetic algorithms. The aim is to describe the basic ideas of GAs and then to survey their application to the design of neural networks (Update)

Context of citations to this paper:   More

.... The design of artificial neural networks (ANNs) whose performance is optimized for a certain application is still a research issue [8]. This design problem is also a complicated one because of the large design space, the presence of many variables, and complex interactions...

...have sought to combine the GA and connectionist paradigms in hybrid learning systems, with varying degrees of success. Jones (1993) and Yao (1992) have produced recent bibliographies of this work. Although the exact nature of the hybridisation has varied, one factor...

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The evolution of artificial neurology in ALEPH_world - Jones, Pratt (2000)   (Correct)
Improving Classification Performance in the Bumptree .. - Williams, Bostock.. (1994)   (Correct)

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0.9:   An Indexed Bibliography of Genetic Algorithms and Neural.. - Jarmo T. Alander (2001)   (Correct)
0.6:   Evolving Artificial Neural Networks - Yao (1999)   (Correct)
0.5:   Evolutionary Divide and Conquer (I): a novel genetic.. - Christine Valenzuela And   (Correct)

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3:   Adding Learning to the Cellular Developmental Process: a Comparative Study (context) - Gruau, Whitley - 1993
3:   A review of evolutionary artificial neural networks - Yao - 1993
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BibTeX entry:   (Update)

Jones, A.J. (1993). Genetic Algorithms and Their Applications to the Design of Neural Networks, Neural Computing and Applications, 1, pp. 32-45, London : Springer-Verlag. http://citeseer.ist.psu.edu/jones93genetic.html   More

@article{ jones93genetic,
    author = "A. J. Jones",
    title = "Genetic Algorithms and Their Applications to the Design of Neural Networks",
    journal = "Neural Computing and Applications",
    volume = "1",
    pages = "32--45",
    year = "1993",
    url = "citeseer.ist.psu.edu/jones93genetic.html" }
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177   An analysis of the behavior of a class of genetic adaptive s.. (context) - De Jong - 1975
158   Designing neural networks using genetic algorithms with grap.. (context) - Kitano - 1990
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10   Advances in Applied Mathematics (context) - Mjolsness, Sharp et al. - 1989
4   Probabilistic algorithm for the directed Traveling Salesman .. (context) - Steele - 1986
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2   tuple Sampling and Genetic Algorithms to Speech Recognition (context) - Badii, Binstead et al. - 1988
2   Intelligent behavior as an adaption to the task environment (context) - Booker - 1982
2   A Massively Parallel Algorithm (context) - Gorges-Schleuter, Population - 1990
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1   Optimising neural networks using faster (context) - Whitley, Hanson - 1989
1   Generation and adaptation of neural networks by evolutionary.. (context) - Robbins, Hughes et al. - 1992
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1   Optimisation of artificial network structure using genetic t.. (context) - Dodd, Macfarlane et al. - 1991



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


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The Synchronous Boltzmann Machine for Learning and.. - Viveros   (Correct)
The evolution of artificial neurology in ALEPH_world - Jones, Pratt (2000)   (Correct)
Automated Embedding and the Creep Phenomenon in Chaotic Time.. - Otani, Jones   (Correct)

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