Forecasting stock exchange movements using neural networks: empirical evidence from Kuwait
MM Mostafa - Expert systems with applications, 2010 - Elsevier
Financial time series are very complex and dynamic as they are characterized by extreme
volatility. The major aim of this research is to forecast the Kuwait stock exchange (KSE) …
volatility. The major aim of this research is to forecast the Kuwait stock exchange (KSE) …
Oil price forecasting using gene expression programming and artificial neural networks
This study aims to forecast oil prices using evolutionary techniques such as gene expression
programming (GEP) and artificial neural network (NN) models to predict oil prices over the …
programming (GEP) and artificial neural network (NN) models to predict oil prices over the …
A hybrid artificial neural network with metaheuristic algorithms for predicting stock price
Most investors change stock prices in long-term businesses because of global turbulence in
the markets. Consequently, prediction of stock price is a difficult task because of unknown …
the markets. Consequently, prediction of stock price is a difficult task because of unknown …
Daily sea level prediction at Chiayi coast, Taiwan using extreme learning machine and relevance vector machine
The analysis and the prediction of sea level fluctuations are core requirements of marine
meteorology and operational oceanography. Estimates of sea level with hours-to-days …
meteorology and operational oceanography. Estimates of sea level with hours-to-days …
[HTML][HTML] Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices
The underlying system models of time series prediction are complex and not known a priori,
hence, accurate and unbiased estimation cannot be always achieved using well known …
hence, accurate and unbiased estimation cannot be always achieved using well known …
Application of a novel signal decomposition prediction model in minute sea level prediction
C Song, X Chen, W **a, X Ding, C Xu - Ocean Engineering, 2022 - Elsevier
Although the prediction of hourly sea level and monthly mean sea level has been widely
discussed, the prediction of minute sea level (MSL) has rarely been attempted under the …
discussed, the prediction of minute sea level (MSL) has rarely been attempted under the …
Daily sea level forecast at tide gauge Burgas, Bulgaria using artificial neural networks
L Pashova, S Popova - Journal of sea research, 2011 - Elsevier
The elucidation of peculiarities of the sea level fluctuations along the Black Sea coast has an
important theoretical and applied significance with respect to the global and regional studies …
important theoretical and applied significance with respect to the global and regional studies …
Sea level simulation with signal decomposition and machine learning
C Song, X Chen, X Ding, L Zhang - Ocean Engineering, 2021 - Elsevier
In recent years, under the background of global warming, influenced by changing climate
conditions and human activities, the sea level time series have shown great non-stationarity …
conditions and human activities, the sea level time series have shown great non-stationarity …
[PDF][PDF] Time series and neural network forecasts of daily stock prices
KC Tseng, O Kwon, LC T**g - Investment Management and …, 2012 - irbis-nbuv.gov.ua
Time series analysis is somewhat parallel to technical analysis, but it differs from the latter by
using different statistical methods and models to analyze historical stock prices and predict …
using different statistical methods and models to analyze historical stock prices and predict …
[HTML][HTML] A novel approach to the development of 1‐hour threshold concentrations for exposure to particulate matter during episodic air pollution events
Episodic air pollution events that occur because of wildfires, dust storms and industrial
incidents can expose populations to particulate matter (PM) concentrations in the thousands …
incidents can expose populations to particulate matter (PM) concentrations in the thousands …