Neural Networks, Bioinspiration for Engineering Development
DOI:
https://doi.org/10.18041/1909-2458/ingeniare.17.584Abstract
This paper is oriented to neural networks comprehension, which are based in techniques that take into account the biologic function of a neuron to bring a solution for engineering problems. The Biomimicry, the way bio-inspired techniques may be named, uses the scientific understanding or rationale of biological systems to exploit nature’s ideas so that technology be able to evolve. The operative way a neuron works is shown as an instance of Biomimicry, in order to develop an algorithm for controlling a fruit selector machine so, knowing this particular use, readers could extend the applicability of neural networks to implement more complex levels of automation.
Downloads
References
K. M. Passino, Biomimicry for Optimization, Control, and Automation. Londres, Inglaterra: Springer-Verlag, 2005.
H. Bruck, A. Gershon, I. Golden, S. Gupta, L. Gyger, E. Magrab, y B. Spranklin. “Training mechanical engineering students to utilize biological inspiration during product development”, Bioinspiration and Biomimetics, vol. 2, n°. 4, pp. S198-S209, 2007.
R. Muller y R. Kuc. “Biosonar-inspired technology: goals, challenges and insights”. Bioinspiration and Biomimetics, vol. 2, No. 4, pp. S146-S161, 2007.
S. Gorb, M. Sinha, A. Peressadko, K. Daltorio y R. Quinn. “Insects did it first: a micropatterned adhesive tape for robotic applications”, Bioinspiration and Biomimetics, vol. 2, n. 4,
pp. S117-S125, 2007.
F. Grasso y P. Setlur. “Inspiration, simulation and design for smart robot manipulators from the sucker actuation mechanism of cephalopods”, Bioinspiration and Biomimetics, vol. 2,
no. 4, pp. S170-S181, 2007.
N. Quijano, K. Passino y B. Andrews. “Foraging Theory for Multizone Temperature Control”, IEEE Computational Intelligence Magazine, vol. 1, n. 4, pp. 18-27, 2006.
Health, U. N. (11 de Noviembre de 2012). National Cancer Institute. Obtenido de Neurons & Glial Cells: http://training.seer.cancer.gov/brain/tumors/anatomy/neurons.html
K. Ogata, Ingeniería de Control Moderna. Madrid. España: Pearson Education, 2003.
M. Hagan, H. Demuth y M. Beale, Neural Network Design. Boston: PWS Publishing Company, 1996.
Real Academia Española. Diccionario de la Real Academia Española.
H. Gardner, Frames of Mind. The Theory of Multiple Intelligences. New York: BasicBooks, 1993.
S. Russell and P. Norvig, Inteligencia Artificial. Un enfoque moderno. Madrid: Pearson Education, 2004.
H. Bruck, A. Gershon, I. Golden, S. Gupta, L. Gyger, E. Magrab, y B. Spranklin. “Training mechanical engineering students to utilize biological inspiration during product development”, Bioinspiration and Biomimetics, vol. 2, n°. 4, pp. S198-S209, 2007.
R. Muller y R. Kuc. “Biosonar-inspired technology: goals, challenges and insights”. Bioinspiration and Biomimetics, vol. 2, No. 4, pp. S146-S161, 2007.
S. Gorb, M. Sinha, A. Peressadko, K. Daltorio y R. Quinn. “Insects did it first: a micropatterned adhesive tape for robotic applications”, Bioinspiration and Biomimetics, vol. 2, n. 4,
pp. S117-S125, 2007.
F. Grasso y P. Setlur. “Inspiration, simulation and design for smart robot manipulators from the sucker actuation mechanism of cephalopods”, Bioinspiration and Biomimetics, vol. 2,
no. 4, pp. S170-S181, 2007.
N. Quijano, K. Passino y B. Andrews. “Foraging Theory for Multizone Temperature Control”, IEEE Computational Intelligence Magazine, vol. 1, n. 4, pp. 18-27, 2006.
Health, U. N. (11 de Noviembre de 2012). National Cancer Institute. Obtenido de Neurons & Glial Cells: http://training.seer.cancer.gov/brain/tumors/anatomy/neurons.html
K. Ogata, Ingeniería de Control Moderna. Madrid. España: Pearson Education, 2003.
M. Hagan, H. Demuth y M. Beale, Neural Network Design. Boston: PWS Publishing Company, 1996.
Real Academia Española. Diccionario de la Real Academia Española.
H. Gardner, Frames of Mind. The Theory of Multiple Intelligences. New York: BasicBooks, 1993.
S. Russell and P. Norvig, Inteligencia Artificial. Un enfoque moderno. Madrid: Pearson Education, 2004.
Downloads
Published
2014-07-01
Issue
Section
Revisión de tema
How to Cite
1.
Noguera J, Portillo N, Hernandez L. Neural Networks, Bioinspiration for Engineering Development. ingeniare [Internet]. 2014 Jul. 1 [cited 2025 Apr. 7];(17):117-31. Available from: https://revistas.unilibre.edu.co/index.php/ingeniare/article/view/584
