Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks

Áreas de investigación:

• Methodology - Machine learning

Año:

2007

Tipo de publicación:

Artículo

Autores:

• Hervás-Martínez, César
• Gutiérrez, Pedro Antonio
• Silva, M.
• Serrano, J. M

Journal:

Journal of Chemometrics

Volumen:

21

Número:

12

Páginas:

567-577

BibTex:

@article{HGSS2007, author = "C{\'e}sar Herv{\'a}s-Mart{\'i}nez and Pedro Antonio Guti{\'e}rrez and M. Silva and J.M Serrano", awards = "JCR (2007): 1.367 (category AUTOMATION {\&}amp; CONTROL SYSTEMS, position 9/52, Q1) ", comments = "JCR (2007): 1.367 (category AUTOMATION {\&}amp; CONTROL SYSTEMS, position 9/52, Q1) ", crossref = " ", journal = "Journal of Chemometrics", month = " ", note = "JCR (2007): 1.367 (category AUTOMATION {\&}amp; CONTROL SYSTEMS, position 9/52, Q1) ", number = "12", pages = "567--577", title = "{C}ombining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks", url = "http://dx.doi.org/10.1002/cem.1082", volume = "21", year = "2007", }

Nota:

JCR (2007): 1.367 (category AUTOMATION & CONTROL SYSTEMS, position 9/52, Q1)

Comentarios:

JCR (2007): 1.367 (category AUTOMATION & CONTROL SYSTEMS, position 9/52, Q1)