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 Deterministic, Stochastic, and Deep Learning Approaches to Understand the Economic Fluctuations in India Subject The topic of the resource GDP; inflation; long short-term memory; stochastic model; unemployment Description An account of the resource In the present work, a new mathematical framework is proposed for studying the interrelation among population growth rate, GDP, inflation rate, and unemployment rate within deterministic and stochastic frameworks. The values of the parameters of the proposed model are estimated using real data from India. The local and global uniqueness of solutions is established for the stochastic model. The deterministic model is solved by using the Adams-Bashforth-Moulton predictor-corrector method, and Milstein's method is used for solving the stochastic model. Numerical simulations correlated quite strongly with observed data, while projections for the 20242030 period indicate that controlled population growth bodes well for the outlook of the economy for India, supporting economic prosperity alongside reduced inflation and better employment conditions. The findings presented in this work are correlational; therefore, to find the possible cause for this phenomenon, further research is required with detailed datasets. Comparing our model's GDP predictions with that obtained using a long short-term memory recurrent neural network model returned very high values of predictive accuracy, thus reinforcing the strength and reliability of our framework. 2025 John Wiley &amp; Sons Ltd. Creator An entity primarily responsible for making the resource Karmakar S.; Chakraborty A. Source A related resource from which the described resource is derived Mathematical Methods in the Applied Sciences Publisher An entity responsible for making the resource available John Wiley and Sons Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/mma.10700" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/mma.10700</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215519065&amp;doi=10.1002%2Fmma.10700&amp;partnerID=40&amp;md5=9c29118d5b8faaf62b0d83acdd293b4f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215519065&amp;doi=10.1002%2fmma.10700&amp;partnerID=40&amp;md5=9c29118d5b8faaf62b0d83acdd293b4f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1704214; CODEN: MMSCD 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 Karmakar S., Department of Electronics Engineering, KIIT, Bhubaneswar, India; Chakraborty A., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India