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631.
Early detection and identification of dangerous states in chemical plants using neural networks 总被引:1,自引:0,他引:1
Joachim Neumann Grge Deerberg Stefan Schlüter 《Journal of Loss Prevention in the Process Industries》1999,12(6):297-453
The suitability of pattern recognition for safety diagnosis of chemical plants will be discussed. Therefore, experiments in a miniplant and with a process simulator are carried out. The process characteristics are treated with different recognition methods and classified with the aid of expert know how. Afterwards, the trained system can be used for process diagnosis. The capability of neural networks for this problem could be shown. 相似文献
632.
633.
Stefan A. Hajkowicz Geoff T. McDonald Phil N. Smith 《Journal of Environmental Planning and Management》2000,43(4):505-518
Multiple objective decision support (MODS) is a structured framework for evaluating decision alternatives against multiple, and often conflicting, criteria. Its ability to handle complex trade-offs in a variety of quantitative and qualitative units gives it much potential in the field of natural resource management (NRM). A key component of MODS is the process used to obtain information from decision makers on the relative importance of evaluative criteria. Ranking algorithms then use this information to determine the relative value of each decision alternative. This paper explores how practising community based NRM decision makers respond to five generic methods for weighting the criteria. It presents a study in which 55 decision makers throughout five regions in Queensland, Australia, applied MODS to evaluate environmental projects seeking funding under the Australian Natural Heritage Trust. Weighting methods applied include fixed point scoring, rating, ordinal ranking, a graphical method and paired comparisons. Decision makers evaluated each weighting method in terms of ease of use and of how much it helped clarify the decision problem. Results show that decision makers felt uncomfortable applying fixed point scoring and generally preferred to express their preferences through ordinal ranking. This has implications for the types of ranking algorithms that can be applied to evaluate the decision alternatives. 相似文献
634.
Rooney James P. K. Michalke Bernhard Geoghegan Gráinne Heverin Mark Bose-O’Reilly Stephan Hardiman Orla Rakete Stefan 《Environmental science and pollution research international》2022,29(50):75356-75364
Environmental Science and Pollution Research - Human biomonitoring studies are of increasing importance in regulatory toxicology; however, there is a paucity of human biomonitoring data for the... 相似文献