Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Soo H. Chai"'
Publikováno v:
Axioms, Vol 13, Iss 1, p 56 (2024)
Economic forecasting is crucial since it benefits many different parties, such as governments, businesses, investors, and the general public. This paper presents a novel methodology for forecasting business cycles using an autoregressive integrated m
Externí odkaz:
https://doaj.org/article/f88bfcec8f794b31b4de37a9274254ec
Autor:
Jaehoon Lim, Soo H. Chai
Publikováno v:
Chaos, Solitons & Fractals. 90:118-126
This study presents a forecasting model of cyclical fluctuations of the economy based on the time delay coordinate embedding method. The model uses a neuro-fuzzy network called neural network with weighted fuzzy membership functions (NEWFM). The prep
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 17:563-568
The present invention relates, in general, to a nonlinear time series prediction method using weighted average defuzzification based on a Neural Network with Weighted Fuzzy Membership functions (NEWFM), and more particularly, to a nonlinear time seri
Autor:
Soo H. Chai, Jaehoon Lim
Publikováno v:
Indian Journal of Science and Technology. 8
This study presents a business cycle forecasting model using economic indicators based on Fuzzy Interactive Naive Bayesian (FINB) network. FINB classifier is a modified model to enhance the classification capacity by weakening the conditional indepen
Autor:
Soo H. Chai, Jaehoon Lim
Publikováno v:
New Trends in Applied Artificial Intelligence ISBN: 9783540733225
IEA/AIE
IEA/AIE
This paper proposes a new forecasting model based on neural network with weighted fuzzy membership functions (NEWFM) concerning forecasting of turning points in business cycle by the composite index. NEWFM is a new model of neural networks to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ef3e2d23071ac2b207afe0d25250cc6
https://doi.org/10.1007/978-3-540-73325-6_15
https://doi.org/10.1007/978-3-540-73325-6_15