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دسته بندی:
مدیریت دانش - knowledge management
سال انتشار:
2018
عنوان انگلیسی مقاله:
Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques
ترجمه فارسی عنوان مقاله:
تبدیل داده ها به دانش برای بهبود عملیات تصفیه فاضلاب: بررسی بحرانی تکنیک ها
منبع:
Sciencedirect - Elsevier - Environmental Modelling and Software, 106 (2018) 89-103. doi:10.1016/j.envsoft.2017.11.023
نویسنده:
Ll. Corominas a, *, M. Garrido-Baserba b, K. Villez c, G. Olsson d, U. Cortes e, M. Poch f
چکیده انگلیسی:
The aim of this paper is to describe the state-of-the art computer-based techniques for data analysis to
improve operation of wastewater treatment plants. A comprehensive review of peer-reviewed papers
shows that European researchers have led academic computer-based method development during the
last two decades. The most cited techniques are artificial neural networks, principal component analysis,
fuzzy logic, clustering, independent component analysis and partial least squares regression. Even
though there has been progress on techniques related to the development of environmental decision
support systems, knowledge discovery and management, the research sector is still far from delivering
systems that smoothly integrate several types of knowledge and different methods of reasoning. Several
limitations that currently prevent the application of computer-based techniques in practice are
highlighted.
Keywords: Data mining ، Data processing ، Data quality ، WWTP ، Knowledge
قیمت: رایگان
توضیحات اضافی:
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