FPGA architecture for feed-forward sequential memory network targeting long-term time-series forecasting

Orimo, Kentaro; Ando, Keiichi; Ueyoshi, Kodai; Ikebe, Masayuki; Asai, Tetsuya; Motomura, Masato

doi:10.1109/reconfig.2016.7857169

2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig) 2016

DOI: 10.1109/reconfig.2016.7857169

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FPGA architecture for feed-forward sequential memory network targeting long-term time-series forecasting

Kentaro Orimo

Keiichi Ando

Kodai Ueyoshi

et al.

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Cited by 4 publications

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Learning automata based method for solving demand and supply problem with periodic behaviors

Lu¹,

Srinivasan²,

Nayak³

2017

2017 IEEE International Conference on Big Data (Big Data)

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FPGA architecture for feed-forward sequential memory network targeting long-term time-series forecasting

Cited by 4 publications

References 5 publications

Learning automata based method for solving demand and supply problem with periodic behaviors

Learning automata based method for solving demand and supply problem with periodic behaviors

Period Detection and Future Trend Prediction Using Machine Learning Techniques

Temperature time series: Pattern analysis and forecasting

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