|
 REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Allen, D., February 1995, "Persistence patterns of those students who drop out of ASU," Recruitment & Retention in Higher Education, 9(2), pages 4-6
|
| |
2
|
Boylan, H.R. & Bonham, B.S., 1992, "The impact of developmental education programs," Research in Developmental Education, 9(5)
|
| |
3
|
Cotter, N. E. and Mian, O. N., March 1992, "A pulsed neural network capable of universal approximation," IEEE Transactions on Neural Networks, 3:308-314
|
| |
4
|
Dishner, D., December 1994, "Faculty 'Culture' and Student Success," Recruitment & Retention in Higher Education, 8(12), pages 4-5
|
| |
5
|
Dole, A., 1963, "Prediction of academic success upon readmission to college," Journal of Counseling Psychology, 10(2), pages 169-175
|
| |
6
|
Foster, W.R., Collopy, F., & Ungar, L.H., 1992, "Neural network forecasting of short noisy time series," Computers and Chemical Engineering, 16(4),pages 293-297
|
| |
7
|
Hall, K.M. and Gahn, S.W., Spring 1994, "Predictors of success for academically dismissed students following readmission," NA CADA Journal, 14(1), page 8
|
| |
8
|
Hansmeier, T. W., 1965, "Factors related to success of college students academically dismissed," College and University, 40(1), pages 194-202
|
| |
9
|
|
| |
10
|
Lapedes, A. and Farber, R., 1988, "How neural nets work," Evolution, Learning, and Cognition, pages 331- 345, World Scientific, Singapore
|
| |
11
|
Lautz, R., MacLean, D., Vaughn, A. T., & Oliver, T. C., 1970, "Characteristics of successful students readmitted following academic suspension," College and University, 45(2), pages 192-202
|
| |
12
|
Lavin, D. E., 1965, "The prediction of academic performance," New York: Russell Sage Foundation
|
| |
13
|
Montes, A., February 1994, "Retention Concepts," Recruitment & Retention in Higher Education, 8(2)page 6
|
| |
14
|
|
| |
15
|
Ott, M. D., 1988, "An analysis of predictors of early academic dismissal," Research in Higher Education, 28(1), pages 34-48
|
| |
16
|
Schreiner, L., September 1993, "Identifying and Advising the 'At Risk' Student," Recruitment & Retention in Higher Education, 7(9), page 5
|
| |
17
|
Sharda, R., & Patil, R.B., 1992; "A connectionist approach to time series prediction: an empirical test," Journal of Intelligent Manufacturing
|
| |
18
|
Tang, Z., Almeida, C., & Fishwick, P., 199l, "Time series forecasting using neural networks vs. Box-Jenkins methodology," Simulation, 57(5), pages 303-310
|
| |
19
|
Tennessee Board of Regents, 1991, "Evaluation of remedial/developmental programs," Available from TBR, 1415 Murfreesboro Rd, Suite 350, Nashville, TN 27217
|
| |
20
|
Tinto, V., 1975, "Dropout from high education: A theoretical synthesis of recent research," Review of Educational Research, 45(1), pages 89-125
|
| |
21
|
Weigend, A.S., Rumelhart, D.E., & Huberman, B.A., 1990, "Backpropagafion, weight-elimination and time series prediction" Connectionist Models: Proceedings of the 1990 Summer School, pages 105-116
|
| |
22
|
Wieberg, S., May 20, 1993, "NCAA: New grad rates reveal status quo," USA Today, page 1C.
|
| |
23
|
Werbos, P j, 1989, "Generalization of backpropagation with application to recurrent gas market model," Neural Networks, 1, pages 339-356
|
| |
24
|
Werbos, P.J., October 1990, "Backpropagation through time: What it does anct. how to do it," Proceedings of the IEEE, volume 78, pages 1550-1560
|
| |
25
|
White, H., 1988, "Economic prediction using neural networks: the case of IBM daily stock returns," IJCNN, Volume II, pages 451-458
|
| |
26
|
Wishart, M. E., 1990, "Making rational reinstatement decisions," NACADA Journal, 10(1), pages 18-21
|
|
Adobe Acrobat
QuickTime
Windows Media Player
Real Player
Pdf
K.3