A machine learning model for population analysis among different states in India which influences the socio, demographic and economic needs of society
- Title
- A machine learning model for population analysis among different states in India which influences the socio, demographic and economic needs of society
- Creator
- Krishna A.V.N.; Bala Murugan M.
- Description
- In this work Data from 2011 census is taken to identify the state which influences more in Population census among the different states identified. The data is considered from Madhya Pradesh, followed with Utter Pradesh, then to Bihar, Bengal and Orissa. Similarly other case studies are also done for Southern Indian states and North Eastern States. Genetic algorithm will be tried to find the optimal location for the given study. A fitting function is calculated for the population data of 2011 using Lagrange Interpolation technique. This fitting function is given as input to Genetic algorithm to find the optimal state which have maximum influence in the population growth among different states of India as per the Case studies done. BEIESP.
- Source
- International Journal of Engineering and Advanced Technology, Vol-9, No. 1, pp. 123-126.
- Date
- 2019-01-01
- Publisher
- Blue Eyes Intelligence Engineering and Sciences Publication
- Coverage
- Krishna A.V.N., Faculty of Engineering, CHRIST, Bengalurur, India; Bala Murugan M., Faculty of Engineering, CHRIST, Bengalurur, India
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 22498958
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Krishna A.V.N.; Bala Murugan M., “A machine learning model for population analysis among different states in India which influences the socio, demographic and economic needs of society,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/16572.