Prediction of stock market trends is considered as an important task and is of great attention
as predicting stock prices successfully may lead to attractive profits by making proper …

Abstract Stock Market Forecasting (SMF) has become a spotlighted area and is receiving
increasing attention due to the potential that investment returns can generate profound …

Drought prediction is an important subject, particularly in drought-hydrology, and has a key
role in risk management, drought readiness and alleviation. Hydrological time series data …

Stock price prediction is an important issue in the financial world, as it contributes to the
development of effective strategies for stock exchange transactions. In this paper, we …

A suitable combination of linear and nonlinear models provides a more accurate prediction
model than an individual linear or nonlinear model for forecasting time series data …

Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …

Stock market prediction is regarded as a challenging task in financial time-series
forecasting. The central idea to successful stock market prediction is achieving best results …

Creating an intelligent system that can accurately predict stock price in a robust way has
always been a subject of great interest for many investors and financial analysts. Predicting …

The present study introduces a novel methodology for fault detection and diagnosis (FDD),
based on a combined approach of data and process knowledge driven techniques. The …

Obtaining accurate prediction of stock index sig-nificantly helps decision maker to take
correct actions to develop a better economy. The inability to predict fluctuation of the stock …