Logistic regression vs. artificial neural network model in prediction of financial inclusion : empirical evidence from PMJDY program in India
R. Magesh Kumar, G. Delina, R. Senthil Kumar, S. Siamala Devi
| Year of publication: |
2022
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|---|---|
| Authors: | Kumar, R. Magesh ; Delina, G. ; Kumar, R. Senthil ; Devi, S. Siamala |
| Published in: |
International journal of financial services management : IJFSM. - Olney, Bucks. : Inderscience Enterprises, ISSN 1741-8062, ZDB-ID 2436140-9. - Vol. 11.2022, 3, p. 245-267
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| Subject: | financial inclusion | financial services | financial literacy | PMJY | Pradhan Mantri Jandhan Yojana | artificial neural network | logistic regression | Indien | India | Neuronale Netze | Neural networks | Finanzielle Inklusion | Financial inclusion | Regressionsanalyse | Regression analysis | Finanzdienstleistung | Financial services | Finanzwissen | Financial literacy | Prognoseverfahren | Forecasting model | Finanzmarkt | Financial market | Mikrofinanzierung | Microfinance |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJFSM.2022.126865 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014311763