Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Najdan Vuković"'
Publikováno v:
Applied Soft Computing. 70:1083-1096
The Random Vector Functional Link Neural Network (RVFLNN) enables fast learning through a random selection of input weights while learning procedure determines only output weights. Unlike Extreme Learning Machines (ELM), RVFLNN exploits connection be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::262f1be161669aab16b85e9e2fa4272d
https://doi.org/10.1016/j.asoc.2017.10.010
https://doi.org/10.1016/j.asoc.2017.10.010
Publikováno v:
Neural Computing and Applications. 30:1065-1083
Most of today’s mobile robots operate in controlled environments prone to various unpredictable conditions. Programming or reprogramming of such systems is time-consuming and requires significant efforts by number of experts. One of the solutions t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39f96bdd9564158f22dc9960f6940355
https://doi.org/10.1007/s00521-016-2717-6
https://doi.org/10.1007/s00521-016-2717-6
Publikováno v:
Expert Systems with Applications. 64:569-588
Chaotic PSO algorithm is proposed to solve NP-hard IPPS problem.Ten chaotic maps are implemented to avoid premature convergence to local optimum.Makespan, balanced level of machine utilization and mean flow time are observed.Five experimental studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21eff65a71eb78fd91829267e2d4db28
https://doi.org/10.1016/j.eswa.2016.08.019
https://doi.org/10.1016/j.eswa.2016.08.019
Autor:
Milica Petrović, Marko Mitić, Bojan Babić, Jelena Petronijević, Zoran Miljković, Najdan Vuković
Publikováno v:
Applied Mechanics and Materials. 834:187-192
Process planning and scheduling are two of the most important manufacturing functions which are usually performed sequentially in traditional approaches. Considering the fact that these functions are usually complementary, it is necessary to integrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::307c0e9c9e06c46faa6720e334d429be
https://doi.org/10.4028/www.scientific.net/amm.834.187
https://doi.org/10.4028/www.scientific.net/amm.834.187
Autor:
Jelena Petronijević, Bojan Babić, Zoran Miljković, Najdan Vuković, Marko Mitić, Milica Petrović
Publikováno v:
Applied Mechanics and Materials. 834:193-198
Market growth and mass customization cause a need for a change in traditional manufacturing. Decentralized decision making and integration of process planning is necessary in order to become concurrent in the market. The paper presents decentralized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8623764df864c8feea165e3a792fb282
https://doi.org/10.4028/www.scientific.net/amm.834.193
https://doi.org/10.4028/www.scientific.net/amm.834.193
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 85:2535-2555
A variety of manufacturing operations together with a variety of alternative manufacturing resources provide that most jobs in the modern manufacturing systems may have a large number of alternative process plans. For that reason, obtaining an optima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4717479c99a0ef9e2828563864a625f6
https://doi.org/10.1007/s00170-015-7991-4
https://doi.org/10.1007/s00170-015-7991-4
Publikováno v:
Knowledge-Based Systems. 89:446-458
Display Omitted Development of new method named chaotic fruit fly optimization algorithm (CFOA).Fruit fly algorithm (FOA) is integrated with ten different chaos maps.Novel algorithm is tested on ten different well known benchmark problems.CFOA is com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7d2f4034dd175a5bd503b0e1daedec0
https://doi.org/10.1016/j.knosys.2015.08.010
https://doi.org/10.1016/j.knosys.2015.08.010
Publikováno v:
Engineering Applications of Artificial Intelligence. 45:388-404
In this paper, we present new Learning from Demonstration-based algorithm that generalizes and extracts relevant features of desired motion trajectories for differential drive mobile robots. The algorithm is tested through series of simulations and r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b7167a507753066b0422f683383d3a9
https://doi.org/10.1016/j.engappai.2015.07.002
https://doi.org/10.1016/j.engappai.2015.07.002
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 230:856-866
The extended Kalman filter (EKF) has become a popular solution for the simultaneous localization and mapping (SLAM). This paper presents the implementation of the EKF coupled with a feedforward neural network for the monocular SLAM. The neural extend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4c9f133f3c12517406c491e349843ef
https://doi.org/10.1177/0954406215586589
https://doi.org/10.1177/0954406215586589
Autor:
Zoran Miljković, Najdan Vuković
Publikováno v:
Neural Networks. 63:31-47
Feedforward neural networks (FFNN) are among the most used neural networks for modeling of various nonlinear problems in engineering. In sequential and especially real time processing all neural networks models fail when faced with outliers. Outliers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::755ee7481a8d58a18433d244b279a74a
https://doi.org/10.1016/j.neunet.2014.11.001
https://doi.org/10.1016/j.neunet.2014.11.001