Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures

Research areas:

• Methodology - Machine learning

Year:

2010

Type of Publication:

Article

Authors:

• Sánchez-Monedero, Javier
• Hervás-Martínez, César
• Gutiérrez, Pedro Antonio
• Carbonero-Ruz, Mariano
• Moreno, M. C. Ramirez
• Cruz-Ramírez, Manuel

Journal:

Neural Network World

Volume:

20

Pages:

899-912

BibTex:

@article{Sanchez2010NNW, author = "Javier S{\'a}nchez-Monedero and C{\'e}sar Herv{\'a}s-Mart{\'i}nez and Pedro Antonio Guti{\'e}rrez and Mariano Carbonero-Ruz and M.C. Ramirez Moreno and Manuel Cruz-Ram{\'i}rez", awards = "JCR (2010): 0.511 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/108 Q4)", comments = "JCR (2010): 0.511 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/108 Q4)", journal = "Neural Network World", note = "JCR (2010): 0.511 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/108 Q4)", pages = "899-912", title = "{E}valuating the {P}erformance of {E}volutionary {E}xtreme {L}earning {M}achines by a {C}ombination of {S}ensitivity and {A}ccuracy {M}easures", volume = "20", year = "2010", }

Note:

JCR (2010): 0.511 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/108 Q4)

Comments:

JCR (2010): 0.511 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/108 Q4)