Zobrazeno 1 - 10
of 18
pro vyhledávání: '"V. Landassuri-Moreno"'
Publikováno v:
MICAI (Special Sessions)
The effects of crime are diverse and complex, ranging from psychological and physical traumas faced by crime victims, to negative impacts on the economy of a whole nation. In this paper, an agent-based crime simulation framework to analyze crime and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9b083aab12e5370f1a9adf8c504f8ae
https://doi.org/10.1109/micai.2013.9
https://doi.org/10.1109/micai.2013.9
Autor:
Carmen L. Bustillo-Hernández, Luis Pastor Sánchez Fernández, José Juan Carbajal-Hernández, V. Landassuri-Moreno
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642418211
CIARP (1)
CIARP (1)
In recent years, Evolutionary Algorithms EAs have been remarkably useful to improve the robustness of Artificial Neural Networks ANNs. This study introduces an experimental analysis using an EAs aimed to evolve ANNs architectures the FS-EPNet algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4d22caa6bace1d47e7054959286c9d0
https://doi.org/10.1007/978-3-642-41822-8_9
https://doi.org/10.1007/978-3-642-41822-8_9
Autor:
José Juan Carbajal-Hernández, Luis P. Sánchez-Fernández, José de Jesús Medel-Juárez, V. Landassuri-Moreno
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642418266
CIARP (2)
CIARP (2)
Induction motors are the most common engine used worldwide. When they are summited to extensive working journals, e.g. in industry, faults may appear, generating a performance reduction on them. Several works have been focused on detecting early mech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90a8bd722791d69d15245234ecb5fa6f
https://doi.org/10.1007/978-3-642-41827-3_7
https://doi.org/10.1007/978-3-642-41827-3_7
Publikováno v:
2011 IEEE Electronics, Robotics and Automotive Mechanics Conference.
Chaotic time series have been successfully predicted with the EPNet algorithm through the evolution of artificial neural networks. However, the input feature selection problem has either not been fully explored before or has not been compared against
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::263b2b725afe73dd10abd8980bed62ca
https://doi.org/10.1109/cerma.2011.19
https://doi.org/10.1109/cerma.2011.19
Publikováno v:
IEEE Congress on Evolutionary Computation
Modularity is known to have benefits for neural systems and their evolution, and this paper aims to improve the evolutionary neural network algorithm EPNet to take advantage of those benefits. Neural networks exist with varying degrees of modularity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a32a29eeac03a6a1818cd6fc2db39069
https://doi.org/10.1109/cec.2011.5949855
https://doi.org/10.1109/cec.2011.5949855
Publikováno v:
GECCO
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous studies have tested the EPNet algorithm in the classification field, ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c20d5aa204665d4423c8dc9c2c96b6b
https://doi.org/10.1145/1569901.1570067
https://doi.org/10.1145/1569901.1570067
Autor:
J. Figueroa-Nazuno, A. Angeles-Yreta, V. Landassuri-Moreno, J. Medina-Apodaca, V. Ortega-Gonzalez
Publikováno v:
2006 Fifth Mexican International Conference on Artificial Intelligence.
In computer sciences, matrices are widely used for representing different kinds of information. Measuring similarity among square matrices is an interesting open problem in computer sciences. Furthermore, eigenvalues and eigenvectors are a powerful w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b622c500211acc448363d1fffc3b8a9
https://doi.org/10.1109/micai.2006.10
https://doi.org/10.1109/micai.2006.10
Autor:
J. Medina-Apodaca, V. Ortega-Gonzalez, A. Angeles-Yreta, J. Figueroa-Nazuno, V. Landassuri-Moreno
Publikováno v:
2006 15th International Conference on Computing.
In computer sciences, matrices are widely used for representing different kinds of information. Furthermore, measuring similarity among matrices is an interesting open problem. In this paper we introduce a new similarity measure among two data matric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da04d5822588f61a9478ad2e897c2bc9
https://doi.org/10.1109/cic.2006.66
https://doi.org/10.1109/cic.2006.66
Autor:
J. Figueroa-Nazuno, J. Medina-Apodaca, V. Ortega-Gonzalez, V. Landassuri-Moreno, A. Angeles-Yreta
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540465560
CIARP
CIARP
We introduce a method for computing similarity between two square matrices based on the information given by their eigenvalues and eigenvectors. The idea is to evaluate the effect of the conjugation of the original matrices and the eigenvectors and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::847e1598ce60e099963f71f428773a0f
https://doi.org/10.1007/11892755_24
https://doi.org/10.1007/11892755_24
Publikováno v:
ENC
Similarity search in time series databases has been the focus of a lot research. It is non-trivial problem due their peculiar structure, high dimensionality (C. Faloutsos et. al, 1994), noise, and high feature correlation; it is also the heart of man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6acba03f481d0d3177a39b263d4ba68f
https://doi.org/10.1109/enc.2004.1342588
https://doi.org/10.1109/enc.2004.1342588