Hunger and poverty: Eliciting the facts through artificial neural network
نویسندگان
چکیده
India is a country of agrarian economy. Nearly 70 per cent its population directly or indirectly depends on agriculture. Having 2/3rd in villages, India’s economy and problems largely affected by people residing villages. The villages are quite wholesome nature it has proper comprehensive ecosystem comprising farm off sector. Here this study the locality Beraberi gram panchayat, Habra II Block, North 24 pgs non-farm Bilkanda Barrackpur 2 block, pgs. 13 independent variables were studied against 4 dependent Hunger, Poverty, Voice Cognitive Differentials. respondents women under age group 15 to 60. Total 150 selected. statistical tool used was Artificial Neural Network Analysis (ANN). revealed that communication variables, homestead land, stress perception energy consumption, these parameters which most significant as far dependents concerned.
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ژورنال
عنوان ژورنال: International journal of agriculture extension and social development
سال: 2021
ISSN: ['2618-0723', '2618-0731']
DOI: https://doi.org/10.33545/26180723.2021.v4.i2a.103