iDEA: Drexel E-repository and Archives >
Drexel Academic Community >
College of Information Science and Technology >
Faculty Research and Publications (IST) >
A hybrid intelligent system to diagnose and indicate solutions to financial problems
Please use this identifier to cite or link to this item:
|Title: ||A hybrid intelligent system to diagnose and indicate solutions to financial problems|
|Authors: ||Pacheco, Roberto|
Weber, Rosina O.
Barcia, Ricardo M.
|Keywords: ||Hybrid Systems;Neural Network;Expert System;Financial Ratio;Financial Analysis|
|Issue Date: ||4-Sep-1995|
|Citation: ||Paper presented at the First International Conference of Industrial Engineering (ENEGEP/95), San Carlos, Brazil.|
|Abstract: ||Monitoring and adjusting financial health problems play central role in the firm’s performance.
Usually, small firms face difficulties in these tasks for lacking human resources and incapacity
to afford a consultant. By analyzing the nature of the diagnosis and the solution of financial
problems one can identify two different reasoning: during the diagnosis phase, the process is
basically intuitive due to complex relations between financial ratios and problems; in the
solution phase, the analyst follows a deductive approach searching for the causes and
adjustments to the identified problem. Based on these aspects and on the motivation of
providing a computational system to aid small firms, we built a Hybrid Intelligent System to
diagnose (through Neural Network) and indicate solutions (through Expert System) to financial
problems. In this paper we discuss the nature of the problems and present the system.|
|Appears in Collections:||Faculty Research and Publications (IST)|
Items in iDEA are protected by copyright, with all rights reserved, unless otherwise indicated.