Training a Multilayer Perception for Modeling Stock Price Index Predictions Using Modified Whale Optimization Algorithm-Reference-Cited by-同舟云学术

Training a Multilayer Perception for Modeling Stock Price Index Predictions Using Modified Whale Optimization Algorithm

Published:2022 Issue: Volume: Page:415-430
ISSN:2194-5357
Container-title:Computational Vision and Bio-Inspired Computing
language:
Short-container-title:

Author:

Bacanin Nebojsa^ORCID,Zivkovic Miodrag^ORCID,Jovanovic Luka^ORCID,Ivanovic Milica^ORCID,Rashid Tarik A.^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9573-5_31

Reference50 articles.

1. Hafezi, R., Shahrabi, J., Hadavandi, E.: A bat-neural network multi-agent system (bnnmas) for stock price prediction: case study of dax stock price. Appl. Soft Comput. 29, 196–210 (2015). https://doi.org/10.1016/j.asoc.2014.12.028. https://www.sciencedirect.com/science/article/pii/S1568494614006723

2. Liu, G., Wang, X.: A new metric for individual stock trend prediction. Eng. Appl. Artif. Intel. 82, 1–12 (2019). https://doi.org/10.1016/j.engappai.2019.03.019

3. Ecer, F., Ardabili, S., Band, S.S., Mosavi, A.: Training multilayer perceptron with genetic algorithms and particle swarm optimization for modeling stock price index prediction. Entropy 22(11) (2020). https://doi.org/10.3390/e22111239

4. Haoxiang, W., Smys, S.: Big data analysis and perturbation using data mining algorithm. J. Soft Comput. Paradigm (JSCP) 3(01), 19–28 (2021)

5. Thilaka, B., Sivasankaran, J., Udayabaskaran, S.: Optimal time for withdrawal of voluntary retirement scheme with a probability of acceptance of retirement request. J. Inf. Technol. 2(04), 201–206 (2020)

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Insider Threat Identification From Accessed Website Content Optimized by Modified Metaheuristic;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

2. Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics;Axioms;2024-05-18

3. Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction;Neural Computing and Applications;2024-05-10

4. Multivariate Bitcoin Price Prediction Based on Tuned Bidirectional Long Short-Term Memory Network and Enhanced Reptile Search Algorithm;Communications in Computer and Information Science;2024

5. Machine Learning for Company Review Sentiment Analysis Interpretation;Algorithms for Intelligent Systems;2024