Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cat Swarm Optimization Algorithm Tuned Multilayer Perceptron for Stock Price Prediction Subject The topic of the resource bio-inspired algorithm; cat swarm optimization; MAE; MAPE; multilayer perceptron and stock prediction; particle swarm optimization Description An account of the resource Due to the nonlinear and dynamic nature of stock data, prediction is one of the most challenging tasks in the financial market. Nowadays, soft and bio-inspired computing algorithms are used to forecast the stock price. This article assesses the efficiency of the hybrid stock prediction model using the multilayer perceptron (MLP) and cat swarm optimization (CSO) algorithm. The CSO algorithm is a bio-inspired algorithm inspired by the behavior traits of cats. CSO is employed to find the appropriate value of MLP parameters. Technical indicators calculated from historical data are used as input variables for the proposed model. The model's performance is validated using historical data not used for training. The model's prediction efficiency is evaluated in terms of MSE, MAPE, RMSE and MAE. The model's results are compared with other models optimized by various bio-inspired algorithms presented in the literature to prove its efficiency. The empirical findings confirm that the proposed CSO-MLP prediction model provides the best performance compared to other models taken for analysis. 2022 Polish Academy of Sciences. All rights reserved. Creator An entity primarily responsible for making the resource Kumar Chandar S.; Punjabi H. Source A related resource from which the described resource is derived Computer Assisted Methods in Engineering and Science, Vol-29, No. 45689, pp. 145-160. Publisher An entity responsible for making the resource available Polska Akademia Nauk Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.24423/cames.394" target="_blank" rel="noreferrer noopener">https://doi.org/10.24423/cames.394</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131071013&amp;doi=10.24423%2Fcames.394&amp;partnerID=40&amp;md5=b30b7b61546aa66f0f294e8299d0b45e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131071013&amp;doi=10.24423%2fcames.394&amp;partnerID=40&amp;md5=b30b7b61546aa66f0f294e8299d0b45e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22993649 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar Chandar S., School of Business &amp; Management, CHRIST (Deemed to be University), Bangalore, India; Punjabi H., School of Business &amp; Management, CHRIST (Deemed to be University), Bangalore, India