Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data

Áreas de investigación:

• Methodology - Machine learning

Año:

2009

Tipo de publicación:

Artículo

Autores:

• Gutiérrez, Pedro Antonio
• Hervás-Martínez, César
• Fernández, Juan Carlos
• Jurado-Expósito, M.
• Peña-Barragán, J.M
• López-Granados, F.

Journal:

Neural Network World

Volumen:

19

Número:

1

Páginas:

3-20

ISSN:

1210-0552

BibTex:

@article{GHFJPL2009, author = "Pedro Antonio Guti{\'e}rrez and C{\'e}sar Herv{\'a}s-Mart{\'i}nez and Juan Carlos Fern{\'a}ndez and M. Jurado-Exp{\'o}sito and Pe{\~n}a-Barrag{\'a}n, J.M and F. L{\'o}pez-Granados", awards = "JCR (2009): 0.475 Position: 93/103 (Q4) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", comments = "JCR (2009): 0.475 Position: 93/103 (Q4) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", crossref = " ", issn = "1210-0552", journal = "Neural Network World", month = " ", note = "JCR (2009): 0.475 Position: 93/103 (Q4) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", number = "1", pages = "3-20", title = "{S}tructural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data", url = "http://www.nnw.cz/obsahy09.html", volume = "19", year = "2009", }

Nota:

JCR (2009): 0.475 Position: 93/103 (Q4) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Comentarios:

JCR (2009): 0.475 Position: 93/103 (Q4) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE