Municipal Waste Management: From Socio-ecological and Techno Managerial Perspective

The social ecology of waste recycling implies the structural, functional and managerial intervention of waste generation process. The present study takes place in Kalyani and Jalpaiguri municipalities with 21 independent variables and 4 dependent variables. Total 150 respondents, 75 from each municipal area have been random sampling. The application of artificial neural network has gone effective in identifying variables with dominant effect as relevant for both Jalpaiguri and Kalyani municipality, with intern invites immediate intervention for up scaling the status of waste recycling and management for both the municipalities. The input variables passing through hidden layers and minimizes errors and give effective output. Artificial neural network describe the relationship between independent and dependent variable and minimize errors.