HMM Training by Using a Self-Organizing Map for Time Series Prediction-Reference-Cited by-同舟云学术

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HMM Training by Using a Self-Organizing Map for Time Series Prediction

Published:2017-02-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Machine Learning and Computing
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Author:

Niina Gen¹,Douzono Hiroshi²,Enda Tomohiro²,Tokutaka Heizo¹

Affiliation:

1. SOM JAPAN Inc., Saga, Japan

2. Saga University, Saga, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3055635.3056645

Reference13 articles.

1. S. Iba "Genetic algorithm (GA) for financial engineering " Ohmsha 2011. S. Iba "Genetic algorithm (GA) for financial engineering " Ohmsha 2011.

2. Jian Wang "Why Are Exchange Rates So Difficult to Predict " Economic Letter Vol.3 No.6 2008. Jian Wang "Why Are Exchange Rates So Difficult to Predict " Economic Letter Vol.3 No.6 2008.

3. Jingtao Yao Hean-Lee Poh "Foreign Exchange Rates Forecasting with Neural Networks " Jingtao Yao Hean-Lee Poh "Foreign Exchange Rates Forecasting with Neural Networks "

4. T. Akuts "Mathematical Models and Algorithms in Bioinformatics " A Series of Algorithm Science Vol.12 Kyoritsu Shuppan 2007. T. Akuts "Mathematical Models and Algorithms in Bioinformatics " A Series of Algorithm Science Vol.12 Kyoritsu Shuppan 2007.

5. The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data

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