Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm

Áreas de investigación:

• Methodology - Machine learning

Año:

2005

Tipo de publicación:

Artículo

Autores:

• Hervás-Martínez, César
• Martínez-Estudillo, Alfonso Carlos
• Silva, M.
• Serrano, J. M.

Journal:

Journal of Chemical Information and Modeling

Volumen:

45

Número:

4

Páginas:

894-903

BibTex:

@article{HMSS2005, author = "C{\'e}sar Herv{\'a}s-Mart{\'i}nez and Alfonso Carlos Mart{\'i}nez-Estudillo and M. Silva and J.M. Serrano", journal = "Journal of Chemical Information and Modeling", month = " ", number = "4", pages = "894--903", title = "{I}mproving the {Q}uantification of {H}ighly {O}verlapping {C}hromatographic {P}eaks by {U}sing {P}roduct {U}nit {N}eural {N}etworks {M}odeled by an {E}volutionary {A}lgorithm", url = "http://pubs.acs.org/doi/abs/10.1021/ci049697o", volume = "45", year = "2005", }