Stock market forecasting using computational intelligence: A survey
Stock market plays a key role in economical and social organization of a country. Stock
market forecasting is highly demanding and most challenging task for investors, professional …
market forecasting is highly demanding and most challenging task for investors, professional …
A comprehensive survey on higher order neural networks and evolutionary optimization learning algorithms in financial time series forecasting
S Behera, SC Nayak, AVSP Kumar - Archives of Computational Methods …, 2023 - Springer
The financial market volatility has been a focus of study for experts over past decades. While
stockbrokers and investors expect reliable projections of future stock indices, it instead …
stockbrokers and investors expect reliable projections of future stock indices, it instead …
Fine-tuned support vector regression model for stock predictions
In this paper, a new machine learning (ML) technique is proposed that uses the fine-tuned
version of support vector regression for stock forecasting of time series data. Grid search …
version of support vector regression for stock forecasting of time series data. Grid search …
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 …
[PDF][PDF] Fitting multi-layer feed forward neural network and autoregressive integrated moving average for Dhaka Stock Exchange price predicting
The stock market plays a vital role in the economic development of any country. Stock
market performance can be measured by the market capitalization ratio as well as many …
market performance can be measured by the market capitalization ratio as well as many …
A hybrid stock price prediction model based on PRE and deep neural network
Stock prices are volatile due to different factors that are involved in the stock market, such as
geopolitical tension, company earnings, and commodity prices, affecting stock price …
geopolitical tension, company earnings, and commodity prices, affecting stock price …
A hybrid stock price prediction model based on pre and deep neural network
BC Manujakshi, MG Kabadi, N Naik - Data, 2022 - search.proquest.com
Stock prices are volatile due to different factors that are involved in the stock market, such as
geopolitical tension, company earnings, and commodity prices, affecting stock price …
geopolitical tension, company earnings, and commodity prices, affecting stock price …
Hybrid evolutionary intelligent system and hybrid time series econometric model for stock price forecasting
In this paper, a hybrid evolutionary intelligent system is proposed for dimensionality
reduction and tuning the learnable parameters of artificial neural network (ANN) that can …
reduction and tuning the learnable parameters of artificial neural network (ANN) that can …
[HTML][HTML] Elephant herding optimization technique based neural network for cancer prediction
Cancer is a kind of uncontrolled growth of abnormal cells in any part of the body. It can be of
many types. Early prognosis of cancer is the only way to treat it in a better way for …
many types. Early prognosis of cancer is the only way to treat it in a better way for …
Swarm intelligence based hybrid neural network approach for stock price forecasting
In this paper, a two-stage swarm intelligence based hybrid feed-forward neural network
approach is designed for optimal feature selection and joint optimization of trainable …
approach is designed for optimal feature selection and joint optimization of trainable …