Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/39183
Title: A wind speed neural model with particle swarm optimization Kalman learning
Author: Cruz-García, R.
Cupul-Magana, A.L.
Hendrickx, M.E.
Rodriguez-Troncoso, A.P.
Issue Date: 2013
Abstract: Fragments of dead coral belonging to Pocillopora Lamarck, 1816 were used during a 1-year period as artificial micro-habitats and positioned at a coral reef community at Islas Marietas, Bahía Banderas, on the west coast of Mexico, to attract and capture isopods. Three species of isopods, totaling 961 specimens were collected. The dominant species was Joeropsis dubia (Menzies, 1951) (Joeropsididae) (83.03% of the total number of specimens), followed by Califanthura squamosissima (Menzies, 1951) (Paranthuridae) (9.78%), and Paracerceis sculpta (Holmes, 1904) (Sphaeromatidae) (7.18%). The average density of isopods was of 12.0 10-2 ind. cm-2. A positive relationship between water temperature and total density of individuals during the sampling period was found. Annual water temperature changes influenced the abundance of each species in a similar way, with the higher abundances associated to the lower temperatures, which is also related to an increase in primary productivity and the presence of upwellings in the area. " 2013 Koninklijke Brill NV, Leiden.",,,,,,"10.1163/15685403-00003264",,,"http://hdl.handle.net/20.500.12104/39183","http://www.scopus.com/inward/record.url?eid=2-s2.0-84890017347&partnerID=40&md5=0b4135ac63243804bdf1c7b28bc080e1",,,,,,"13-14",,"Crustaceana",,"1664
1674",,"86",,"Scopus
WOS",,,,,,"cote ouest du Mexique; coral reefs community; Isopoda; recifs; western Mexico",,,,,,"Abundance of three species of isopoda (peracarida, isopoda) associated with a coral reef environment in pacific mexico",,"Article" "40954","123456789/35008",,"López-Valdivia, R., Physics Deparment, CUCEI, Universidad de Guadalajara, Blvd. Marcelino García Barragan 1421, C.P. 44430, Guadalajara, Jalisco, Mexico; Alvarez, C., Universidad Autónoma de Chiapas, Mexico; De La Fuente, E., Physics Deparment, CUCEI, Universidad de Guadalajara, Blvd. Marcelino García Barragan 1421, C.P. 44430, Guadalajara, Jalisco, Mexico; Lorimer, D., West Virgina University, United States; Kramer, M., Jodrell Bank Observatory, United Kingdom",,"Lopez-Valdivia, R.
Alvarez, C.
De La Fuente, E.
Lorimer, D.
Kramer, M.",,"2011",,"[No abstract available]",,,,,,,,,"http://hdl.handle.net/20.500.12104/39175","http://www.scopus.com/inward/record.url?eid=2-s2.0-84878294788&partnerID=40&md5=735e6757b1edfcd1bfa987f6e349717e",,,,,,,,"Revista Mexicana de Astronomia y Astrofisica: Serie de Conferencias",,"279",,"40",,"Scopus",,,,,,,,,,,,"About pulsars dynamical evolution",,"Conference Paper" "40944","123456789/35008",,"Alanis, A.Y., CUCEI, Universidad de Guadalajara, Apartado Postal 51-71, Col. las aguilas, C.P. 45080, Zapopan, Jalisco, Mexico; Simetti, C., DISI University Degli Studi di Genova, Via Dodedaneso 35, 16146 Genova, Italy; Ricalde, L.J., UADY, Faculty of Engineering, Av. Industrias no Contaminantes por Periferico Norte, Cordemex, Merida, Yucatan, Mexico; Odone, F., DISI University Degli Studi di Genova, Via Dodedaneso 35, 16146 Genova, Italy",,"Alanis, A.Y.
Simetti, C.
Ricalde, L.J.
Odone, F.",,"2012",,"This paper deals with a novel training algorithm for a neural network architecture for wind speed time series prediction. The proposed training algorithm is based in an extended Kalman filter (EKF) improved using particle swarm optimization (PSO) to compute the design parameters The EKF-PSO based algorithm is employed to update the synaptic weights of the neural network. The size of the regression vector is determined by means of the Cao methodology. The proposed structure captures more efficiently the complex nature of the wind speed time series. The proposed model is trained and tested using real wind speed data values. In order to show the applicability of the proposed scheme Simulation results are included. " 2012 TSI Press.
URI: http://hdl.handle.net/20.500.12104/39165
http://www.scopus.com/inward/record.url?eid=2-s2.0-84870813365&partnerID=40&md5=d3862171a6ab8feb83bb0b49cfb27c3a
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