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A hybrid expert system for investment advising
Author(s) -
Nikolopoulos Chris,
Fellrath Paul
Publication year - 1994
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1994.tb00332.x
Subject(s) - computer science , artificial neural network , component (thermodynamics) , genetic programming , artificial intelligence , expert system , connectionism , classifier (uml) , machine learning , investment (military) , knowledge base , physics , politics , political science , law , thermodynamics
Investor is an investment advising hybrid expert system which incorporates two of the most powerful techniques developed in artificial intelligence, the connectionist and the logic programming paradigms, in a unified model. Investor employs a neural network model to detect the interest rate trends and a rule‐based component to classify the user into the appropriate investor model. The investor model and the interest rate information are then used by the knowledge base to infer the appropriate investment strategy. Genetic algorithms and classifier systems were employed to train and configure the architecture of Investor's neural network component.