@inproceedings{7a14af39515e4517841fcbc457d594ca,
title = "Hierarchical and feed-forward fuzzy Logic for financial modelling and prediction",
abstract = "In this paper, the development of a Hierarchical and Feed-Forward intelligent Fuzzy Logic system using Genetic Algorithms for prediction and modelling of fluctuations in interest rates in Australia is discussed. The system developed is used to predict quarterly and half yearly interest rates using fuzzy logic. The fuzzy rules for fuzzy logic predictor are unknown. A knowledge base must be created from the available data. In the paper Genetic Algorithm is proposed as a method for learning the fuzzy rules of the fuzzy logic predictor. A Hierarchical and Feed-Forward Fuzzy Logic system consisting of five fuzzy knowledge bases is developed to solve the prediction problem.",
author = "Masoud Mohammadian and Mark Kingham",
year = "1997",
month = jan,
day = "1",
language = "English",
isbn = "3540637974",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag London Ltd.",
pages = "147--156",
booktitle = "Advanced Topics in Artificial Intelligence - 10th Australian Joint Conference on Artificial Intelligence, AI 1997, Proceedings",
note = "10th Australian Joint Conference on Artificial Intelligence, AI 1997 ; Conference date: 30-11-1997 Through 04-12-1997",
}