Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ozge, Cagcag Yolcu"'
Autor:
Sule Nazlı Arslan, Ozge Cagcag Yolcu
Publikováno v:
Neural Computing and Applications. 34:12895-12917
Intuitionistic fuzzy time series models consider observations hesitation degree but they use memberships and non-membership values together as inputs in the prediction system. The usage of membership and non-membership values as inputs in separate pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92f422ec8d3172873f1231c9a3dc8e0c
https://doi.org/10.1007/s00521-022-07138-z
https://doi.org/10.1007/s00521-022-07138-z
© 2022 Elsevier LtdIn this study, the use of Deep Cascade Forward Neural Network (DCFNN) was investigated to model both linear and non-linear chaotic relationships in co-composting of dewatered sewage sludge and biomass fly ash (BFA). Model results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6af0b9ebbd4e6ec82e1e2d4ab32470c4
https://hdl.handle.net/11424/285759
https://hdl.handle.net/11424/285759
Publikováno v:
Bioresource technology.
© 2022 Elsevier LtdStudies on developing strategies to predict the stability and performance of the composting process have increased in recent years. Machine learning (ML) has focused on process optimization, prediction of missing data, detection o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08df207755b38ff91c6b6a7d1832123
https://pubmed.ncbi.nlm.nih.gov/36608858
https://pubmed.ncbi.nlm.nih.gov/36608858
Publikováno v:
Korean Journal of Chemical Engineering. 38:2265-2278
Response surface methodology (RSM), multi-layer perceptron trained by Levenberg-Marquardt (MLP-LM); multi-layer perception and Sigma-Pi neural networks trained by particle swarm optimization (PSO) were used to effectively and reliably predict the per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48b3b0170b5929e4dbb6711aa78ad6d5
https://doi.org/10.1007/s11814-021-0867-4
https://doi.org/10.1007/s11814-021-0867-4
Autor:
Melih Kirisci, Ozge Cagcag Yolcu
Financial time series forecasting has been becoming one of the most attractive topics in so many aspects owing to its broad implementation areas and substantial impact. Because of this reason in particular recent decades, various kinds of computation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb2828e009a98aec61b8c863bd181cb9
https://hdl.handle.net/11424/287622
https://hdl.handle.net/11424/287622
Autor:
Ufuk Yolcu, OZGE CAGCAG YOLCU
Publikováno v:
Expert Systems with Applications. 215:119336
© 2022 Elsevier LtdFinancial time series prediction problems, for decision-makers, are always crucial as they have a wide range of applications in the public and private sectors. This study presents a cascaded intuitionistic fuzzy model for financia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8df9df4e83ffed11a20853fac9082194
https://doi.org/10.1016/j.eswa.2022.119336
https://doi.org/10.1016/j.eswa.2022.119336
Consciousness level determination of red meat consumption of pregnant women, Giresun/Turkey province
Publikováno v:
Journal of Mind and Medical Sciences, Vol 7, Iss 1, Pp 79-84 (2020)
WOS: 000523591400012 In this study, meat consumption and the nutritional status of pregnant women living in Giresun province of Turkey were investigated. The study was carried out at Giresun University, the Maternity and Pediatrics Training and Resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::271e5fb4a04290c5c757872cec80a7c4
https://doi.org/10.22543/7674.71.p7984
https://doi.org/10.22543/7674.71.p7984
Publikováno v:
Bioresource Technology. 363:127910
In this study, the effects of co-composting of food waste (FW) and tea waste (TW) on the losses of total nitrogen (TN), total organic carbon (TOC), and moisture content (MC) were investigated. TW and FW were composted separately and compared with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0680f6c7ae4a85c63dcb8e53d1406c73
https://doi.org/10.1016/j.biortech.2022.127910
https://doi.org/10.1016/j.biortech.2022.127910
Publikováno v:
Soft Computing. 24:8211-8222
WOS: 000493720400006 There are various studies in which a variety of prediction tools have been introduced in time-series prediction literature. Non-probabilistic approaches which are based on fuzzy set theory, especially in recent years, have been p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::496f8f923ac36bf7d187639f65e1fdc2
https://doi.org/10.1007/s00500-019-04432-2
https://doi.org/10.1007/s00500-019-04432-2
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 33:383-404
WOS: 000466207000001 Time series can contain both linear and nonlinear components, and linear and nonlinear artificial neural networks (L&NL-ANNs) have been proposed to forecast them. Although L&NL-ANNs can produce well forecasting results, these neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8197c9db012b4a47dd3826a0998d959
https://doi.org/10.1080/0952813x.2019.1595167
https://doi.org/10.1080/0952813x.2019.1595167