Please use this identifier to cite or link to this item: https://utcc-dspacecris.eval.plus/handle/6626976254/453
Title: Time Series Prediction for Inflation Using Neural Networks
Authors: Seangnark, Nareeratana 
Issue Date: 1998
Publisher: University of the Thai Chamber of Commerce
Source: Nareeratana Seangnark (1998) Time Series Prediction for Inflation Using Neural Networks.
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.
URI: https://scholar.utcc.ac.th/handle/6626976254/453
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Appears in Collections:GS: Theses / Independent Studies

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