Open AccessArtificial neural network techniques for evaluation of pollution
Author(s) -
Sunita Bhagat -,
Gitanjali Suryawanshi,
Monali Mahajan,
Lomesh Mahajan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/796/1/012052
Subject(s) - artificial neural network , computer science , natural (archaeology) , control (management) , risk analysis (engineering) , artificial intelligence , business , geography , archaeology
Undesirable scent emanations are considered as toxins which will cause inconvenient impact to the environment as well as a marker of unfortunate to influenced people coming about irritation and wellbeing related issues. These poisons are challenging to handle due to their intangibility to the exposed eye and can as it were be felt by the human jolts. A technique are available to address these issues are in artificial neural network to attain a vigorous result. The use of AI as advancement in controlling on environmental mapping. The various AI methods available for non-linear input. The AI technology is one of the striking advancement since last couple of decades for control and observed natural contamination at number of sources within stipulated timeframe. Which considered as effective elective strategies to handle the complexities of dubious, intelligently and dynamic natural issues.