İçeriğe geç
akaturk Akademik ölçüm
Giriş yap Kayıt ol

OpenAlex konusu

Stock Market Forecasting Methods

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 4.059 eser 253 yazar konusu

Çalışmalar

4.059 eser

  1. Predicting direction of stock price index movement using artificial neural networks and support vector machines The sample of the Istanbul Stock Exchange 2011
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.8%

    Özet henüz yok.

  2. Predicting direction of stock price index movement using artificial neural networks and support vector machines The sample of the Istanbul Stock Exchange 2011
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.8%

    Özet henüz yok.

  3. A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  4. A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  5. Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach 2018
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

    Özet henüz yok.

  6. An Adaptive Network Based Fuzzy Inference System ANFIS for the prediction of stock market return The case of the Istanbul Stock Exchange 2010
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  7. An Adaptive Network Based Fuzzy Inference System ANFIS for the prediction of stock market return The case of the Istanbul Stock Exchange 2010
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  8. Measuring firm performance using financial ratios: A decision tree approach 2013
    OpenAlex üst %1 OpenAlex 99.7%

    Özet henüz yok.

  9. Predictive Abilities of Bayesian Regularization andLevenberg Marquardt Algorithms in Artificial NeuralNetworks A Comparative Empirical Study on Social Data 2016
    YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.7%

    The objective of this study is to compare the predictive ability of Bayesian regularization with Levenberg–Marquardt Artificial Neural Networks. To examine the best architecture of neural networks, the model was tested with one-, two-, three-, four-, and five-neuron architectures, respectively. MATLAB (2011a) was used…

  10. Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques 2019
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    Özet henüz yok.

  11. Support vector machine for regression and applications to financial forecasting 2000
    OpenAlex 81.3%

    The main purpose of the paper is to compare the support vector machine (SVM) developed by Cortes and Vapnik (1995) with other techniques such as backpropagation and radial basis function (RBF) networks for financial forecasting applications. The theory of the SVM algorithm is based on statistical learning theory. Trai…

  12. Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

Akademisyenler

253 akademisyen