Beauty on the brain
Article Abstract:
The Darwinian principle of natural selection of sexual characteristics has been supported by the research of Magnus Enquist and Anthony Arak. They used artificial neural networks to model pattern recognition for such features as tail size in birds, which are secondary sexual traits. The bias in the recognition models resulted in natural selection for traits, fitting Darwin's theory that females possess aesthetic preferences for sexual partners.
Publication Name: Nature
Subject: Zoology and wildlife conservation
ISSN: 0028-0836
Year: 1993
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Selection of exaggerated male traits by female aesthetic senses
Article Abstract:
Signal recognition mechanisms contain enough bias to explain the sexual selection of birds and possible evolution of male traits. Artificial neural networks were trained to recognize basic patterns for birds which could vary in such features as tail size. The responses of the recognition mechanisms showed biases which would lead to the enhancement of secondary sexual characteristics due to the process of natural selection.
Publication Name: Nature
Subject: Zoology and wildlife conservation
ISSN: 0028-0836
Year: 1993
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Neural networks and olive oil
Article Abstract:
A new method has been devised for determining if olive oil has been adulterated. The technique combines Curie-point pyrolysis mass spectrometry with multivariable data analysis by means of artificial neural networks. Tests of the method confirmed its accuracy and hence its effectiveness in deterring the mixing of cheaper vegetable oils with the tastier, more healthful and more expensive virgin olive oil.
Publication Name: Nature
Subject: Zoology and wildlife conservation
ISSN: 0028-0836
Year: 1992
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