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dc.contributor.authorMujiburrohman, Muhammad
dc.date.accessioned2017-12-14T04:07:33Z
dc.date.available2017-12-14T04:07:33Z
dc.date.issued2011
dc.identifier.isbn978-979-636-118-2
dc.identifier.urihttp://hdl.handle.net/11617/9446
dc.description.abstractIt is acknowledged that industrialization results in not only benefits but also hazards for human being or environments. In the past times, the developed technologies mainly gave priority on gaining profits as much as possible while paying a little attention on possible negative impacts behind the developed process. People now realize the hidden high cost of it, and try to solve such problems in several ways. One of potential ways is to eliminate insignificant affecting variables on process that may even give undesired products or wastes. It is then needed a quantitative tool to identify these variables. This short paper highlights a brief analysis on determining of relative importance of affecting input variables on an output variable/product of developed technology or process using artificial neural networks (ANNs). To give an idea about ANNs, the discussion starts with description of ANNs. A demonstration to obtain weights factors, parameters required in the determination of relative importance of affecting variables, will be shown in separate slides.in_ID
dc.language.isoenin_ID
dc.publisherNarratives Of Sustainable Development: Industry In The Global World Meeting Social Ecological Responsibilityin_ID
dc.titleThe use of artificial neural networks for determining the relative importance of affecting variables on outputs of developed technologiesin_ID
dc.typeArticlein_ID


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