Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Jeng-Fung Chen"'
Publikováno v:
Algorithms, Vol 8, Iss 2, Pp 292-308 (2015)
Presenting a satisfactory and efficient training algorithm for artificial neural networks (ANN) has been a challenging task in the supervised learning area. Particle swarm optimization (PSO) is one of the most widely used algorithms due to its simpli
Externí odkaz:
https://doaj.org/article/4b4c139aea134ffd8670d4fd398e6c27
Publikováno v:
Information, Vol 6, Iss 1, Pp 89-110 (2015)
Companies are facing cut throat competition and are forced to continuously perform better than their competitors. In order to enhance their position in the competitive world, organizations are improving at a faster pace. Industrial organizations must
Externí odkaz:
https://doaj.org/article/d5e070409e7b4aeb8803a422817d0cf3
Publikováno v:
Information, Vol 5, Iss 4, Pp 570-586 (2014)
The accuracy of reservoir flow forecasting has the most significant influence on the assurance of stability and annual operations of hydro-constructions. For instance, accurate forecasting on the ebb and flow of Vietnam’s Hoabinh Reservoir can aid
Externí odkaz:
https://doaj.org/article/121e1db728c442609749a63ae3542350
Publikováno v:
Algorithms, Vol 7, Iss 4, Pp 538-553 (2014)
Predicting student academic performance with a high accuracy facilitates admission decisions and enhances educational services at educational institutions. This raises the need to propose a model that predicts student performance, based on the result
Externí odkaz:
https://doaj.org/article/289272b93d6e4a73a8ba296ef2040e63
Publikováno v:
Information, Vol 9, Iss 3, p 51 (2018)
Electricity load forecasting plays a paramount role in capacity planning, scheduling, and the operation of power systems. Reliable and accurate planning and prediction of electricity load are therefore vital. In this study, a novel approach for forec
Externí odkaz:
https://doaj.org/article/a53b5e6c18e04f5db2205b56e9434725
Publikováno v:
Information, Vol 8, Iss 1, p 31 (2017)
Electricity demand forecasting plays an important role in capacity planning, scheduling, and the operation of power systems. Reliable and accurate prediction of electricity demands is therefore vital. In this study, artificial neural networks (ANNs)
Externí odkaz:
https://doaj.org/article/646e53816f4f46e79b49c93f0489c86f
Publikováno v:
Information, Vol 7, Iss 1, p 7 (2016)
Predictions of cutting vibrations are necessary for improving the operational efficiency, product quality, and safety in the machining process, since the vibration is the main factor for resulting in machine faults. “Cutting vibration” may be cau
Externí odkaz:
https://doaj.org/article/8971cb6e905a483dba87d2190cd313f4
Publikováno v:
Nature Environment and Pollution Technology, Vol 20, Iss 2, Pp 865-874 (2021)
Biodiesel has been receiving increasing attention because of its fuel properties and compatibility with petroleum-based diesel fuel. Therefore, it is necessary to measure the engine performance and exhaust emissions of engines using petroleum-based d
Publikováno v:
Journal of Computer Science. 16:1063-1084
Autor:
Jeng-Fung Chen
Publikováno v:
Multiprocessor Scheduling, Theory and Applications
This research deals with the problem of scheduling N jobs on M unrelated parallel machines. Each job has a due date and requires a single operation. A setup that includes detaching one die and attaching another from the appropriate die type is incurr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d67580d0d0f2a1ad54914e45b3361dc
http://www.intechopen.com/articles/show/title/heuristics_for_unrelated_parallel_machine_scheduling_with_secondary_resource_constraints
http://www.intechopen.com/articles/show/title/heuristics_for_unrelated_parallel_machine_scheduling_with_secondary_resource_constraints