Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Pauline C. Haddow"'
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5740272c759db5cc3faf44f8ee383d8f
https://doi.org/10.2139/ssrn.4263547
https://doi.org/10.2139/ssrn.4263547
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::228a5586e24b50f1bd116687778648be
https://doi.org/10.1109/ssci50451.2021.9660080
https://doi.org/10.1109/ssci50451.2021.9660080
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d488272d8e4ffdd77be9f8301044320
https://doi.org/10.1109/ssci50451.2021.9659926
https://doi.org/10.1109/ssci50451.2021.9659926
Autor:
Amund Tenstad, Pauline C. Haddow
Publikováno v:
CEC
Neuroevolution (NE), inspired by the natural evolution of biological brains, may be applied to the evolution of both weights and the topology of Artificial Neural Networks (ANNs). DES-HyperNEAT, proposed herein, further extends existing NE algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::845725985a4306794d37ed3192b78d29
https://doi.org/10.1109/cec45853.2021.9504803
https://doi.org/10.1109/cec45853.2021.9504803
Publikováno v:
SSCI
The immune system is arguably one of nature’s most highly adaptive, distributed and self-organising systems. It has the property of being able to recognise anomalies — something that deviates from the common rule. The work herein exploits the imm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f3c03b8dd868b700cd6066f32897e7c
https://doi.org/10.1109/ssci44817.2019.9003140
https://doi.org/10.1109/ssci44817.2019.9003140
Autor:
Pauline C. Haddow, Andy M. Tyrrell
Publikováno v:
Inspired by Nature ISBN: 9783319679969
The ability of the processes in Nature to achieve remarkable examples of complexity, resilience, inventive solutions and beauty is phenomenal. This ability has promoted engineers and scientists to look to Nature for inspiration. Evolvable Hardware (E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b2bce1700d071e3f8e1acb2621ac9a4
https://doi.org/10.1007/978-3-319-67997-6_1
https://doi.org/10.1007/978-3-319-67997-6_1
Autor:
Pauline C. Haddow
Publikováno v:
IEEE Computational Intelligence Magazine. 9:10-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e78861bbbaf3efaaba76e8775300ba09
https://doi.org/10.1109/mci.2013.2291676
https://doi.org/10.1109/mci.2013.2291676
Publikováno v:
Journal of Bioinformatics and Computational Biology. :579-595
Simulation tools are playing an increasingly important role behind advances in the field of systems biology. However, the current generation of biological science students has either little or no experience with such tools. As such, this educational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f8e2c3e2f310a96cd88808a22fec245
https://doi.org/10.1142/s0219720011005410
https://doi.org/10.1142/s0219720011005410
Autor:
Andy M. Tyrrell, Pauline C. Haddow
Publikováno v:
Genetic Programming and Evolvable Machines. 12:183-215
Nature is phenomenal. The achievements in, for example, evolution are everywhere to be seen: complexity, resilience, inventive solutions and beauty. Evolvable Hardware (EH) is a field of evolutionary computation (EC) that focuses on the embodiment of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::692f32c85920029f7d0254bc1425b8fa
https://doi.org/10.1007/s10710-011-9141-6
https://doi.org/10.1007/s10710-011-9141-6
Autor:
Pauline C. Haddow, Asbjoern Djupdal
Publikováno v:
Genetic Programming and Evolvable Machines. 12:281-303
Evolutionary techniques may be applied to search for specific structures or functions, as specified in the fitness function. This paper addresses the challenge of finding an appropriate fitness function when searching for generic rather than specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a0b531fbde7196151de10449ba23eb8
https://doi.org/10.1007/s10710-011-9129-2
https://doi.org/10.1007/s10710-011-9129-2