Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting

<p>Accurate control of wave energy devices relies heavily on precise forecasts of wave heights, yet the dynamic and fluctuating nature of historical wave data presents significant challenges to achieving this precision. Neural networks help address this issue by extracting meaningful patterns...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Aryan Bhambu (18767731) (author)
مؤلفون آخرون:	Ruobin Gao (16003195) (author), Ponnuthurai Nagaratnam Suganthan (11274636) (author), Natarajan Selvaraju (22631420) (author)
منشور في:	2025
الموضوعات:	Engineering Electronics, sensors and digital hardware Information and computing sciences Artificial intelligence Machine learning Forecasting Transformer Multiple output layers Time series Deep ensemble random vector functional vector link Deep neural networks Ensemble learning Randomized neural networks
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting

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