Reference health
Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of blackfoot disease in Taiwan
9/9 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
9 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 9 checked references that resolve
resolves10.1109/36.477189
Passive microwave relative humidity retrievals using feedforward neural networks
resolves10.1061/(ASCE)0733-9496(1996)122:5(342)
Deriving a General Operating Policy for Reservoirs Using Neural Network
resolves10.1016/S0043-1354(99)00061-5
Predicting stream nitrogen concentration from watershed features using neural networks
resolves10.1029/97WR02943
A neural network approach to multiobjective optimization for water quality management in a river basin
resolves10.1029/93WR01494
Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling
resolves10.1016/S0048-9697(02)00683-6
Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan
The 9 references without a DOI — listed, not checked
no DOI — not checkedTsao YS, Wang JL. A comprehensive study of sea water intrusion for the Yun-Lin aquifer system. Agricultural Engineering Research Center, Taiwan; 1984. p. 159.
no DOI — not checkedShen SB. Study on land subsidence in coastal plains in Yun-Lin area (I). Conference on Land Subsidence, Taiwan; 1989. p. 191–211.
no DOI — not checkedBioaccumulation of arsenic in aquacultural large-scale mullet Liza macrolepis from blackfoot disease area in Taiwan
no DOI — not checkedTainan Hydraulic Laboratory. The Yun-Lin offshore industrial infrastructure complexes planning, development and monitoring report, Part I, vol. 6, Groundwater level and quality measurements. National Cheng-Kung University, Taiwan, ROC, 1992–1998.
no DOI — not checked10.1016/j.watres.2003.09.026_BIB12
no DOI — not checked10.1016/j.watres.2003.09.026_BIB13
no DOI — not checkedInterpreting neural network connection weights
no DOI — not checkedNeural networks for river flow prediction
no DOI — not checkedQnet 97. Neural Network Modeling for Windows 95/98/NT. Vesta Services, Inc Winnetka, IL, 1997.
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
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