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Research Paper | Electronics & Communication Engineering | India | Volume 9 Issue 12, December 2020
Comparison of Fuzzy Logic and Neuro Fuzzy Air Purifying System
Tamsa, Amrit Kaur Bhullar
Abstract: Air Quality Index (AQI) refers to the quality of air due to the presence of pollutants like Particulate Matter 2.5 (PM 2.5), PM 10 and Volatile Organic Compounds (VOCs) that make the air poisonous for us to breathe in. This study implements two different models of air purifying systems, one being Fuzzy system and second is Neuro-fuzzy system. The latter has the advantage of learning from training data set. So, air purifier system is required. This study compares the output of fuzzy and neuro-fuzzy on the basis of output relationship graphs between input and output pairs. Neuro-fuzzy air purifier system results are found to be superior in comparison to fuzzy system.
Keywords: Air Purifier system, Fuzzy logic, Rule base, Neuro-fuzzy
Edition: Volume 9 Issue 12, December 2020,
Pages: 1153 - 1157
How to Cite this Article?
Tamsa, Amrit Kaur Bhullar, "Comparison of Fuzzy Logic and Neuro Fuzzy Air Purifying System", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR201212162634, Volume 9 Issue 12, December 2020, 1153 - 1157
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