System and method for performing risk and credit analysis of fin

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G06F 300

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active

056969074

ABSTRACT:
The present invention discloses a method and system for performing risk and credit analysis of financial service applications with a neural network. The neural network imitates and perfects a credit manager's evaluation and decision process to control loss and guide business expansion. In particular, the neural network screens applications to control loss and to find directions where business volume can increase with a minimum increase in loss. Initially, data variables are pre-processed and applied to the neural network. The neural network in the present invention is optimized by a non-iterative regression process, as opposed to the computationally intensive back propagation algorithm.

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"A Neural Network Model for Bankruptcy Prediction" by Marcus D. Odom, et al, Oklahoma State University, pp. II-163-II-168.
"Risk Assessment of Mortgage Applications with a Neural Network System: An Update as the Test Portfolio Ages" by Douglas L. Reilly, et al, of Nestor, Inc., Providence, R.I., pp. II-479-II-482.
"Multiple Regression Analysis", Introduction to Probability and Statistics, William Mendenhall, Sixth Edition, Duxbury Press, Boston 1983, pp. 457-489.
McLeod et al., "Predicting Credit Risk: A Neural Network Approach", Journal of Retail Banking, vol. 15, No. 3, 1993, pp. 37-40.
Hsieh, "Some Potential Applications of Artificial Neural Systems in Financial Management", Journal of Systems Management, vol. 44, No. 4, Apr. 1993, pp. 12-15.
Robins, "Credit Scoring: Can Retailers Benefit from Neural Networks?", Stores, vol. 75, No. 4, Apr. 1993, pp. 34-35.
Jost, "Neural Networks", Credit World, vol. 81, No. 4, Mar. 1993, pp. 26-33 .

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