Soft computing hybrids for FOREX rate prediction: A comprehensive review
D Pradeepkumar, V Ravi - Computers & Operations Research, 2018 - Elsevier
Foreign exchange rate prediction is an important problem in finance and it attracts many
researchers owing to its complex nature and practical applications. Even though this …
researchers owing to its complex nature and practical applications. Even though this …
Recurrent neural network and a hybrid model for prediction of stock returns
In this paper, we propose a robust and novel hybrid model for prediction of stock returns.
The proposed model is constituted of two linear models: autoregressive moving average …
The proposed model is constituted of two linear models: autoregressive moving average …
Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap
The pandemic caused by the coronavirus disease 2019 (COVID-19) has produced a global
health calamity that has a profound impact on the way of perceiving the world and everyday …
health calamity that has a profound impact on the way of perceiving the world and everyday …
An efficient equilibrium optimizer with support vector regression for stock market prediction
A hybridized method that relies on using the support vector regression (SVR) method with
equilibrium optimizer (EO) is proposed to foresee the closing prices of Egyptian Exchange …
equilibrium optimizer (EO) is proposed to foresee the closing prices of Egyptian Exchange …
Clustered ANFIS network using fuzzy c-means, subtractive clustering, and grid partitioning for hourly solar radiation forecasting
K Benmouiza, A Cheknane - Theoretical and Applied Climatology, 2019 - Springer
In this paper, an improved clustered adaptive neuro-fuzzy inference system (ANFIS) to
forecast an hour-ahead solar radiation data for 915 h is introduced. First, we have classified …
forecast an hour-ahead solar radiation data for 915 h is introduced. First, we have classified …
Development of wind energy market in the European Union
P Bórawski, A Bełdycka-Bórawska, KJ Jankowski… - Renewable Energy, 2020 - Elsevier
Renewable energy sources (RES) can play a significant role in economic growth. This
article examines the development of the wind energy market in the EU. The applicable …
article examines the development of the wind energy market in the EU. The applicable …
Grey Wolf optimization-Elman neural network model for stock price prediction.
S Kumar Chandar - Soft Computing-A Fusion of Foundations …, 2021 - search.ebscohost.com
Over the past two decades, assessing future price of stock market has been a very active
area of research in financial world. Stock price always fluctuates due to many variables …
area of research in financial world. Stock price always fluctuates due to many variables …
Stock market analysis and prediction for NIFTY50 using LSTM Deep Learning Approach
Designing and developing a prediction model with an accurate stock price prediction has
been an active field of research in the stock market for a long time. On the other hand …
been an active field of research in the stock market for a long time. On the other hand …
Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms
Abstract Financial Time Series Prediction is a complex and a challenging problem. In this
paper, we propose two 3-stage hybrid prediction models wherein Chaos theory is used to …
paper, we propose two 3-stage hybrid prediction models wherein Chaos theory is used to …
Convolutional neural network for stock trading using technical indicators
SK Chandar - Automated Software Engineering, 2022 - Springer
Stock market prediction is a very hot topic in financial world. Successful prediction of stock
market movement may promise high profits. However, an accurate prediction of stock …
market movement may promise high profits. However, an accurate prediction of stock …