Zobrazeno 1 - 10
of 10
pro vyhledávání: '"José D. Martínez-Morales"'
Autor:
José D. Martínez-Morales, José Rubén Lagunas-Jiménez, Elvia R. Palacios-Hernandez, J.A. Morales-Saldana, Héctor Emmanuel Quej-Cosgaya
Publikováno v:
Science China Technological Sciences. 62:1055-1064
A multilayer perceptron (MLP) artificial neural network (ANN) model has been optimized by the multi-objective ant colony optimization (MOACO) algorithm, which uses three objective functions. A sensitivity analysis to choose MOACO parameter values is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7a6b80a818f6b75108d8e24d03e3834
https://doi.org/10.1007/s11431-017-9235-y
https://doi.org/10.1007/s11431-017-9235-y
Publikováno v:
Electrical Engineering. 100:59-73
This work presents a fault diagnosis strategy for induction motors based on multi-class classification through support vector machines (SVM), and the so-called one-against-one method. The proposed approach classifies four different motor conditions (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::907d674c9beb3485d2c7b8a28ecc3219
https://doi.org/10.1007/s00202-016-0487-x
https://doi.org/10.1007/s00202-016-0487-x
Publikováno v:
Journal of Mechanical Science and Technology. 28:2417-2427
This paper proposes a hybrid learning of artificial neural network (ANN) with the nondominated sorting genetic algorithm-II (NSGAII) to improve accuracy in order to predict the exhaust emissions of a four stroke spark ignition (SI) engine. In the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf448d8f01bf938f85309fd1d8e6822
https://doi.org/10.1007/s12206-014-0535-2
https://doi.org/10.1007/s12206-014-0535-2
Publikováno v:
Journal of Zhejiang University SCIENCE A. 14:657-670
In this paper, a multi-objective particle swarm optimization (MOPSO) algorithm and a nondominated sorting genetic algorithm II (NSGA-II) are used to optimize the operating parameters of a 1.6 L, spark ignition (SI) gasoline engine. The aim of this op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3182a3ba7bd349e00210888e1355572
https://doi.org/10.1631/jzus.a1300010
https://doi.org/10.1631/jzus.a1300010
Publikováno v:
Procedia Technology. 7:328-335
In this work, a wavelet neural network (WNN) model of internal combustion engine emissions is presented. We collect data of a 1.6L spark ignition gasoline engine. The engine was coupled to a hydraulic dynamometer to control the engine speed in real t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::195b0cd346c96cd24462587819dd73bf
Publikováno v:
Procedia Technology. 3:251-258
In this work, a neural network model of internal combustion engine is presented. First, we collect data of a 1.6L gasoline engine which was used for deriving an engine neural model. The engine was coupled to a hydraulic dynamometer to provide load. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3047c43b30d83efca29f5d994b86516b
The envisioned heterogeneous wireless systems are expected to integrate multiple access networks over a common IP platform. In such systems, since mobile users expect to achieve the Always Best Connected (ABC) experience, heterogeneous systems have t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c588296671548fce19c22dfc72fb6632
https://doi.org/10.4018/978-1-4666-0017-1.ch003
https://doi.org/10.4018/978-1-4666-0017-1.ch003
Publikováno v:
CCE
In a fourth generation (4G) wireless environment, the need for an user to be always best connected (ABC) anywhere at anytime leads to execute a vertical handoff decision for guaranteeing service continuity and quality of service (QoS). Several strate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2c7ab2c2d90a558dd74987a1d5ba1fc
https://doi.org/10.1109/iceee.2010.5608646
https://doi.org/10.1109/iceee.2010.5608646
Publikováno v:
CCE
In this paper, data fusion based on multi-class support vector machines (SVM) is presented to detect and isolate three mechanical faults in induction motors. First, we construct the feature vector by using signatures created from frequency-domain cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbb0b83a4151832b9091559cd3d12942
https://doi.org/10.1109/iceee.2010.5608632
https://doi.org/10.1109/iceee.2010.5608632
Publikováno v:
Scopus-Elsevier
In the forthcoming heterogeneous wireless environment, the mobility management of users roaming between different wireless access technologies is a challenging and important technical issue. New mobile devices such as netbooks, smartphones and tablet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::169d3f1731ce0dcc47a973a2c0d6fc67
http://www.scopus.com/inward/record.url?eid=2-s2.0-84866715152&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84866715152&partnerID=MN8TOARS