Prediction of cadmium removal using an artificial neural network and a neuro-fuzzy technique

Mine Water and the Environment

Volumn 25, Issue 4, 2006, Pages 214-219

  Singh, T N ^a   Singh, V K ^b   Sinha, S ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b BANARAS HINDU UNIVERSITY   (India)

Author keywords

Adsorption; Artificial neural network; Cadmium; Fuzzy logic; Hematite

Indexed keywords

EID: 33845444501     PISSN: 10259112     EISSN: 16161068     Source Type: Journal    
DOI: 10.1007/s10230-006-0135-1     Document Type: Article

References (13)

1. th edit Washington, DC, 207 pp
2. Bhattacharya AK, Venkobacher C (1984) Removal of Cd (II) by low cost adsorbents. J Environ Eng 110: 110-122
3. Darsh GA (1993) Increase of cadmium body burden for this century. Sci Total Environ 67: 75-89
4. Demuth H, Beale M (1994) Neural Network Tool Box User's Guide. Mathworks Inc, Natick, MA
5. Jang JSR (1993) ANFIS: Adaptive Neural based Fuzzy Interference System. IEEE Trans on Systems, Man and Cybernetics 23: 665-685
6. Meena A, Rajgopal C (2003) Comparative studies on adsorption removal of chromium from contaminated water using different adsorbents. Indian J Chem Technol 10: 72-78
7. Patterson JW, Allen HE, Scala JJ (1977) Carbonate precipitation for heavy metal pollutants. J Water Pollut Control Fed 49: 2397
8. Singh DB, Rupainwar DC, Prasad G, Jayaprakas KC (1998) Studies on Cd (II) removal from water by adsorption. J Hazard Mater 60: 29-40
9. Sitting M (1981) Handbook of Toxic and Hazardous Chemicals. Noyes Publ, Park Ridge, NJ, USA, p 119-120, 185-186
10. World Health Organization (1984) Guidelines for Drinking Water Quality. Geneva, Switzerland, Vol 1 and 2
11. Yegnarayan B (1997) Artificial Neural Networks. Prentice-Hall of India Pvt Ltd, New Delhi, 117-135
12. Zadeh LA (1965) Fuzzy Sets. IEEE Information and Control 8: 338-353
13. Zadeh LA (1979) A Theory of Approximate Reasoning. In: Hayes JE, Michie D, Mikulich LI (Eds), Machine Intelligence 9, John Wiley & Sons, NY, p 149-194