Journal
MEASUREMENT
Volume 174, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2021.109055
Keywords
Chromium toxicity; Hormone imbalance; Urva auropunctatus; Hybrid machine learning; Adaptive neuro-fuzzy inference systems
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The toxic impact of chromium on hormonal concentrations of Urva auropuctatus was analyzed in a tannery industrial area, showing significantly higher chromium concentration in exposed animals and reduced concentrations of reproductive hormones. The use of an ANFIS model resulted in satisfactory accuracy in estimating hormone concentrations based on chromium levels in body tissues.
The toxic impact of chromium on hormonal concentrations of the Urva auropuctatus in a tannery industrial area has been analyzed through exposure to a sub-lethal contaminated environment. Chromium concentration in the body tissues (blood, testes, and ovaries) of the exposed Urva auropunctatus was found significantly higher than the control. Moreover, the concentrations of reproductive hormones (follicle-stimulating hormone (FSH), luteinizing hormone (LH), progesterone, estradiol, and testosterone) were reduced in chromium exposed animals. A hybrid approach of artificial neural network and fuzzy methods (adaptive neuro-fuzzy inference system (ANFIS)) has been designed in the modeling of hormonal concentration of Urva auropunctatus of control and experimental groups using the concentration of chromium in the body tissues. The ANFIS results in satisfactory estimation accuracy (minimum root mean square error (RMSE) = 0.01) in the estimation of the concentration of reproductive hormones.
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