Artificial neural network-salp-swarm algorithm for stock price prediction

QR Code

Artificial neural network-salp-swarm algorithm for stock price prediction

Predicting stock prices is a challenging task due to the numerous factors that impact them. The dataset used for analyzing stock prices often displays complex patterns and high volatility, making the generation of accurate predictions difficult. To address these challenge...

Full description

Bibliographic Details
Main Authors:	Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Azlan, Abdul Aziz
Format:	Article
Language:	English
Published:	University of Baghdad-College of Science 2024
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/43532/ http://umpir.ump.edu.my/id/eprint/43532/1/Artificial%20Neural%20Network-Salp-Swarm%20Algorithm%20for%20Stock%20Price%20Prediction.pdf

Similar Items

Stock price predictive analysis: An application of hybrid barnacles mating optimizer with artificial neural network
by: Zuriani, Mustaffa, et al.
Published: (2023)

Dengue outbreak prediction using an improved salp swarm algorithm
by: Khairunnisa Amalina, Mohd Rosli, et al.
Published: (2020)

Stock price predictive analysis : An application of hybrid barnacles mating optimizer with artiﬁcial neural network
by: Zuriani, Mustaffa, et al.
Published: (2023)

An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Predictive analysis of dengue outbreak based on an improved salp swarm algorithm
by: Zuriani, Mustaffa, et al.
Published: (2020)

Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm
by: Nik Ahmad Farihin, Mohd Zulkifli, et al.
Published: (2025)

Feature optimization with metaheuristics for Artificial Neural Network-based chiller power prediction
by: Nor Farizan, Zakaria, et al.
Published: (2025)

A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
by: Ahmed Ali Mohammed, Al-saffar
Published: (2024)

Hybrid firefly algorithm–neural network for battery remaining useful life estimation
by: Zuriani, Mustaffa, et al.
Published: (2024)

An application of hybrid swarm intelligence algorithms for dengue outbreak prediction
by: Mustaffa, Zuriani, et al.
Published: (2019)

Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
by: Fahad, Ahmed Mohammed, et al.
Published: (2019)

Personality predictive analysis based on artificial neural network
by: Zuriani, Mustaffa, et al.
Published: (2022)

Hybrid honey badger algorithm with artificial neural network (HBA-ANN) for website phishing detection
by: Muhammad Arif, Mohamad, et al.
Published: (2024)

Battery remaining useful life estimation based on particle swarm optimization-neural network
by: Zuriani, Mustaffa, et al.
Published: (2024)

A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
by: Ismail, Amelia Ritahani, et al.
Published: (2019)

Hybrid clustering-GWO-NARX neural network technique in predicting stock price
by: Das, Debashish, et al.
Published: (2017)

Metaheuristic approach for optimizing neural networks parameters in battery state of charge estimation
by: Zuriani, Mustaffa, et al.
Published: (2023)

A salp swarm algorithm to improve power production of wind plant
by: Ahmad Zairi, Mohd Zain, et al.
Published: (2019)

The Use of Artificial Neural Network for Forecasting of FTSE Bursa Malaysia KLCI Stock Price Index
by: Ardiansyah, Soleh, et al.
Published: (2013)

Sales Prediction Using Artificial Neural Network
by: Ilham Ariff, Mohammad Fadzli
Published: (2023)

Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network
by: Muhammad Hafiz, Samsuri
Published: (2014)

Stock Trend Prediction With Neural Network Techniques
by: Mohd Haris Lye Abdullah,
Published: (2003)

Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer
by: Mohd Herwan, Sulaiman, et al.
Published: (2025)

Distribution network reconﬁguration for transmission loss minimization and voltage proﬁle Improvement using salp swarm optimization algorithm
by: Shanono, Ibrahim Haruna, et al.
Published: (2022)

Distribution network reconfiguration for transmission loss minimization and voltage profile improvement using salp swarm optimization algorithm
by: Shanono, Ibrahim Haruna, et al.
Published: (2022)

Prediction of stock price using neural network
by: Jalunis, Fatmawati, et al.
Published: (2011)

State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models
by: Zuriani, Mustaffa, et al.
Published: (2025)

A quick gbest guided artificial bee colony algorithm for stock market prices prediction
by: Shah, Habib, et al.
Published: (2018)

Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm
by: Danzomo, Bashir A., et al.
Published: (2015)

Prediction of Vehicle Fuel Consumption Model Based on Artificial Neural Network
by: Noraziah, Ahmad, et al.
Published: (2014)

Particle swarm optimization for neural network learning enhancement
by: Abdull Hamed, Haza Nuzly
Published: (2006)

Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
by: Zohrul, Islam Mohammad
Published: (2021)

Stock Trend Prediction With Neural Network Techniques
by: Abdullah, Mohd Haris Lye
Published: (2003)

An ensemble of neural network and modified grey wolf optimizer for stock prediction
by: Das, Debashish
Published: (2019)

Wind power generation prediction utilizing Kolmogorov-Arnold networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2025)

CCS501 – NEURAL NETWORKS AND GENETIC ALGORITHMS CSC513 – ARTIFICIAL NEURAL NETWORKS - SEPT. 2001
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2001)

Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

An Application of Radial Basis Function Neural Network for Short Term Load Forecasting Solution
by: Nurul Faezah, Othman, et al.
Published: (2018)

Chiller energy prediction in commercial building : A metaheuristic-enhanced deep learning approach
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)