Асосий контентга ўтиш
AkademIndex

Маҳсулотлар

Ишлаб чиқувчилар учун

AkademBaseЭкотизим учун очиқ API
← Ишга қайтиш

Ушбу иш иқтибос қилган ишлар

74 та иш

Иш: Forecasting Gold and Platinum prices with an enhanced GRU model using multi-headed attention and skip connection

  1. Deep Residual Learning for Image Recognition

    Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

    Мақола201661 иқтибос
    ABI

  2. Long Short-Term Memory

    Sepp Hochreiter, Jürgen Schmidhuber

    Мақола199741 иқтибос
    ABI

  3. Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets

    Bilal Ahmed Memon, Hongxing Yao, Hafiz Muhammad Naveed

    Мақола20225 иқтибос
    ABI

  4. Is gold a safe haven? International evidence

    Dirk G. Baur, Thomas K. J. McDermott

    Мақола20103 иқтибос
    ABI

  5. An overview of statistical learning theory

    Vladimir Vapnik

    Мақола19993 иқтибос
    ABI

  6. Connectedness between Currency Risk Hedging and Firm Value: A Deep Neural Network-based Evaluation

    Yao HongXing, Hafiz Muhammad Naveed, Bilal Ahmed Memon +4

    Мақола20233 иқтибос
    ABI

  7. A LSTM-based method for stock returns prediction: A case study of China stock market

    Kai Chen, Yi Zhou, Fangyan Dai

    Мақола20153 иқтибос
    ABI

  8. A Survey of Forex and Stock Price Prediction Using Deep Learning

    Zexin Hu, Yiqi Zhao, Matloob Khushi

    Мақола20213 иқтибос
    ABI

  9. Precious metals–exchange rate volatility transmissions and hedging strategies

    Shawkat Hammoudeh, Yuan Yuan, Michael McAleer +1

    Мақола20102 иқтибос
    ABI

  10. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches

    Kyunghyun Cho, Bart van Merriënboer, Dzmitry Bahdanau +1

    Препринт20142 иқтибос
    ABI

  11. ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

    Zhaohua Wu, Norden E. Huang

    Мақола20082 иқтибос
    ABI

  12. Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms

    Mahla Nikou, Gholamreza Mansourfar, Jamshid Bagherzadeh

    Мақола20192 иқтибос
    ABI

  13. A new hybrid financial time series prediction model

    Bashar Alhnaity, Maysam Abbod

    Мақола20202 иқтибос
    ABI

  14. Prediction of gold price with ARIMA and SVM

    Daniel Makala, Zhilin Li

    Мақола20212 иқтибос
    ABI

  15. Is gold a hedge or a safe-haven asset in the COVID–19 crisis?

    Md Akhtaruzzaman, Sabri Boubaker, Brian M. Lucey +1

    Мақола20212 иқтибос
    ABI

  16. Stock Prediction Based on Optimized LSTM and GRU Models

    Ya Gao, Rong Wang, Enmin Zhou

    Мақола20212 иқтибос
    ABI

  17. Predicting stock market index using LSTM

    Hum Nath Bhandari, Binod Rimal, Nawa Raj Pokhrel +3

    Мақола20222 иқтибос
    ABI

  18. Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review

    Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza +2

    Шарҳ мақола20222 иқтибос
    ABI

  19. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  20. Financial Modelling System Using Deep Neural Networks (DNNs) for Financial Risk Assessments

    Hafiz Muhammad Naveed, Pan Yanchun, Bilal Ahmed Memon +2

    МақолаStock Market Forecasting MethodsInternational Social Science Journal20241 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI