Measuring Under-achievements in Livelihood Space: Search for sustainability index and influencing factors through artificial neural network

Dr. Sugata Sen; Soumya Sengupta

Measuring Under-achievements in Livelihood Space: Search for sustainability index and influencing factors through artificial neural network

Authors: Dr. Sugata Sen, Soumya Sengupta

Unique Paper ID: 166094
Volume: 11
Issue: 2
PageNo: 32-40

Keywords: Sustainable Livelihood Underachievement Space Artificial Neural network.

Abstract:
Ensuring a sustainable livelihood to the larger counts of the population is the most challenging agenda of any developing economy. So this work wants to quantify the level of under achievements of different economies in the field of sustainable livelihood. The contribution of influencing variables of under-achievement and contributing variables to achievement in the construction of under achievement livelihood space is also determined under this work. The interaction between these two types of variables and their juxtaposed effects are evaluated through the use of artificial neural network. Finally this method of artificial intelligence is used to achieve a self-sustained monotonic high rate of development. The whole work is presented through a set theoretic approach which is followed by the testing of the same. It is expected that the application of neural network in the process of self-sustained growth of sustainable livelihood is unique in academic discourses.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 2
PageNo: 32-40

Measuring Under-achievements in Livelihood Space: Search for sustainability index and influencing factors through artificial neural network

Available:https://ijirt.org/Article?manuscript=166094

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Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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