Time Series Prediction for Inflation Using Neural Networks

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Other Contributor(s)
University of the Thai Chamber of Commerce. Graduate School
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
1998
Resource Type
Text::Thesis::Master thesis
Language
English
Abstract
Inflation is one of the major problem in economic stabilization policies of any country which effects the state of economy, society and politics. The objective of this analytical study is to analyze the main causes of inflation in Thailand. Quantitative approach is applied in this study, by using model which has several variables. Neural network is deployed as a tool to develop a model must be able to learn the taught information from the variables of the model and to accurately predict future inflation.
Subject(s)
Degree Level
masters
Degree Department
School of Science and Technology
Degree Grantor
University of the Thai Chamber of Commerce
Access Rights
Open access
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This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder
University of the Thai Chamber of Commerce
Bibliographic Citation
Nareeratana Seangnark (1998) Time Series Prediction for Inflation Using Neural Networks.
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