SCOPUS 정보 검색 플랫폼 - 논문 보기

메뉴 건너뛰기

Chemical Papers

Volumn 60, Issue 6, 2006, Pages 410-415

Prediction of gaseous emissions from industrial stacks using an artificial intelligence method

(2) Anghel, C I a Ozunu, A a

a BABE BOLYAI UNIVERSITY (Romania)

Author keywords

Artificial intelligence; Classification; Gaseous emissions; Industrial stack; Prediction; Regression

Indexed keywords

EID: 33845239885 PISSN: 03666352 EISSN: None Source Type: Journal
DOI: 10.2478/s11696-006-0075-z Document Type: Article

Times cited : (13)

References (15)

1
- 0141518956
- Benvenuto, F. and Marani, A., Global Nest Int. J. 23, 281 (2000).
- (2000) Global Nest Int. J. , vol.23 , pp. 281
- Benvenuto, F.¹ Marani, A.²

2
- 10844260586
- Maqsood, I., Riaz Khan, M., Huang, G. H., and Abdalla, R., Eng. Appl. Artif. In. 18, 115 (2005).
- (2005) Eng. Appl. Artif. In. , vol.18 , pp. 115
- Maqsood, I.¹ Riaz Khan, M.² Huang, G.H.³ Abdalla, R.⁴

3
- 5444237060
- Olcese, L. E. and Toselli, B. M.,Chemosphere 57, 691 (2004).
- (2004) Chemosphere , vol.57 , pp. 691
- Olcese, L.E.¹ Toselli, B.M.²

4
- 15544389367
- Lu, W. Z. and Wang, W. J., Chemosphere 59, 693 (2005).
- (2005) Chemosphere , vol.59 , pp. 693
- Lu, W.Z.¹ Wang, W.J.²

5
- 33646804160
- Anghel, G. I. and Ozunu, A., Chem. Pap. 59, 469 (2005).
- (2005) Chem. Pap. , vol.59 , pp. 469
- Anghel, G.I.¹ Ozunu, A.²

6
- 0003450542
- Springer, New York
- Vapnik, V. N., The Nature of Statistical Learning Theory. Springer, New York, 2000.
- (2000) The Nature of Statistical Learning Theory
- Vapnik, V.N.¹

7
- 0003684449
- Springer, New York
- Hastie, T., Tibshirani, R., and Friedman, J. H., The Elements of Statistical Learning. Springer, New York, 2001.
- (2001) The Elements of Statistical Learning
- Hastie, T.¹ Tibshirani, R.² Friedman, J.H.³

8
- 0033640646
- Jain, A. K., Duin, R. P. W., and Mao, J., IEEE T Pattern. Anal. 22, 4 (2000).
- (2000) IEEE T Pattern. Anal. , vol.22 , pp. 4
- Jain, A.K.¹ Duin, R.P.W.² Mao, J.³

9
- 0003652453
- MIT Press, Cambridge
- Smola, A. J., Bartlett, P. L., Scholkopf, B., and Schuurmans, D., Advances in Large Margin Classifiers. MIT Press, Cambridge, 2000.
- (2000) Advances in Large Margin Classifiers
- Smola, A.J.¹ Bartlett, P.L.² Scholkopf, B.³ Schuurmans, D.⁴

10
- 0003991806
- Wiley, New York
- Vapnik, V. N., Statistical Learning Theory. Wiley, New York, 1998.
- (1998) Statistical Learning Theory
- Vapnik, V.N.¹

11
- 0003879832
- MIT Press, Cambridge
- Lanckriet, G. R. G., Ghaoui, E. L., Bhattacharyya, C., and Jordan, M. I., Advances in Neural Information Processing Systems 14. MIT Press, Cambridge, 2002.
- (2002) Advances in Neural Information Processing Systems , vol.14
- Lanckriet, G.R.G.¹ Ghaoui, E.L.² Bhattacharyya, C.³ Jordan, M.I.⁴

12
- 0042967740
- Lanckriet, G. R. G., Ghaoui, E. L., Bhattacharyya, C., and Jordan, M. I., J. Machine Learning Res. 3, 555 (2002).
- (2002) J. Machine Learning Res. , vol.3 , pp. 555
- Lanckriet, G.R.G.¹ Ghaoui, E.L.² Bhattacharyya, C.³ Jordan, M.I.⁴

13
- 0003879832
- MIT Press, Cambridge
- Strohmann, T. R. and Grudic, G. Z., Advances in Neural Information Processing Systems 15. MIT Press, Cambridge, 2003.
- (2003) Advances in Neural Information Processing Systems , vol.15
- Strohmann, T.R.¹ Grudic, G.Z.²

14
- 33845254268
- Report CU-CS-975-04, University of Colorado
- Grudic, G. Z., Probabilistic Regression Using Basis Function Models, Department of Computer Science, Report CU-CS-975-04, University of Colorado, 2004, http://www.cs.colorado.edu/»grudic/software.
- (2004) Probabilistic Regression Using Basis Function Models
- Grudic, G.Z.¹

15
- 33845260692
- Bordes, A., Ertekin, S., Weston, J., and Bottou, L., J. Machine Learning Res. 6, 1579 (2005).
- (2005) J. Machine Learning Res. , vol.6 , pp. 1579
- Bordes, A.¹ Ertekin, S.² Weston, J.³ Bottou, L.⁴

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.