Prediction of school dropout risk group using neural network

2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013

Volumn , Issue , 2013, Pages 111-114

  Martinho, Valquiria R C ^a   Nunes, Clodoaldo ^a   Minussi, Carlos Roberto ^b  

^a Mato Grosso Federal Institute of Education Science and Technology   (Brazil)

^b SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREE OF RELIABILITY; EXECUTIVE SECRETARY; FINANCIAL LOSS; FUZZY-ARTMAP NEURAL NETWORK; INDUSTRIAL CONTROLS; INNOVATIVE SYSTEMS; INTERNET SYSTEM; SCIENCE AND TECHNOLOGY;

COMPUTER SCIENCE; INFORMATION SYSTEMS; LOSSES; NEURAL NETWORKS;

STUDENTS;

EID: 84892496898     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. V. Martinho, "Intelligent System for Prediction of Group Risk Evasion Student," PosGraduate Program in Electrical Engineering, Electrical Engineering Department, UNESP, Ilha Solteira-SP, 2012. (in Portuguese).
2. G. A. Carpenter, S. Grossberg, and K. Iizuka, "Comparative performance measures of fuzzy ARTMAP, learned vector quantization, and back propagation for handwritten character recognition," International Joint Conference on Neural Networks, vol.1, pp. 794-799, 1992.
3. G. A. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynolds, and D. B. Rosen, "Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps," IEEE Transactions on Neural Networks, vol. 3, pp. 698-713, 1992.
4. G. A. Carpenter and S. Grossberg, "A self-organizing neural network for supervised learning, recognition, and prediction," Communications Magazine, IEEE, vol. 30, pp. 38-49, 1992.
5. S. Haykin, Neural Networks: Comprehensive Foundation: Prentice Hall, 1999.
6. S. Grossberg, "Competitive learning: From interactive activation to adaptive resonance," Neural networks and natural intelligence, Massachusetts Institute of Technology, pp. 213-250, 1988.
7. G. A. Carpenter, S. Grossberg, and D. B. Rosen, "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system," Neural Network, vol. 4, pp. 759-771, 1991.
8. G. A. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynolds, and D. B. Rosen, "Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps," IEEE Transactions on Neural Networks, vol. 3, pp. 698-713, 1992.
9. V. Martinho, C. Nunes, C. R. Minussi, "A new method for prediction of school dropout risk group using neural network Fuzzy," XV International Conference on Artificial Intelligence, Las Vegas, 2013, in press.
10. S. C. Marchiori, M. C. G. da Silveira, A. D. P. Lotufo, C. R. Minussi, and M. L. M. Lopes, "Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems," Applied Soft Computing, vol. 11, pp. 706-715, 2011.