NEURAL NETWORKS --

THEORETICAL PERSPECTIVE

BY

SHASHAANK THOTA

(102854563)

OVERVIEW

History of Neural Networks

Neural Network Architecture

A Computation technique

Issues & Applications

REFERENCES

www.ieee.org/nnc/

www.inns.org/

www.cs.utexas.edu/users/nn/

www.mbfys.kun.nl/SNN/

www.cs.stir.ac.uk/

www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html

http://www4.ncsu.edu/~jrhennen/hennenkamp/support/school.html

NEURAL NETWORKS APPLICATION

DESIGNING A NEURAL NETWORK FOR FORECASTING FINANCIAL AND ECONOMIC TIME SERIES

BY

ASHWINI SRIDHAR

(100506699)

REFERENCES

D. Baily and D.M Thompson, Developing neural network applications, AI Expert,(Sep(1990).

E.B. Baum and D. Haussler, What size net gives valid generalization?, Neural Computat. 6(1989) 151-160.

M. Caudill, The view from now, AI Expert, (June 1992) 24-31.

R. Hecht-Nielsen, Neurocomputing, (Addison Wesley, Menlo Park, CA, 1989).

www.google.com

ARTIFICIAL NEURAL NETWORKS IN BANKRUPTCY PREDICTION

BY

PIYUSH SHARMA

(104650934)

OVERVIEW

A general framework for understanding the role of artificial neural networks (ANNs) in bankruptcy prediction is presented.

Applications of neural networks.

MLP

Factors affecting neural networks performance.

Some neural network applications on bankruptcy prediction that are already done are mentioned.

Design of the study carried out in this paper.

REFERENCES

[1] T. Masters, Practical Neural Network Recipes in C++. Academic Press, Inc., 1993

[2] S. T. Welstead, Neural Network and Fuzzy Logic Applications in C++. John Wiley & Sons, Inc., 1994

[3] E.L. Altman, Financial ratios, discriminate analysis and the prediction of corporate bankruptcy, Journal of Finance 23 (3) (1968) 589±609.

[6] W. Beaver, Financial ratios and predictors of failure, Empirical Research in Accounting: Selected Studies (1966) 71±111.

[10] P.L. Brockett, W.W. Cooper, L.L. Golden, U. Pitaktong, A neural network method for obtaining an early warning of insurer insolvency, The Journal of Risk and Insurance 61 (3) (1994) 402±424.

[16] R. Edmister, An empirical test of financial ratio analysis for small business failure prediction, Journal of Finance and Quantitative Analysis 7 (1972) 1477± 1493.

[24] K. Hornik, Some new results on neural network approximation, Neural Networks 6 (1993) 1069±1072.

[28] M.S. Hung, M.Y. Hu, M. Shanker, B.E. Patuwo, Estimating posterior probabilities in classification problems with neural networks, International Journal of Computational Intelligence and Organizations 1 (1996) 49±60.