Downloads: 58 | Views: 271
Research Paper | Electronics & Communication Engineering | India | Volume 9 Issue 12, December 2020 | Popularity: 6.7 / 10
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
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 128 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Electronics & Communication Engineering, India, Volume 7 Issue 6, June 2018
Pages: 1662 - 1664Enhancement of Gray Level Image by Fuzzy and Filter Technique
Monalisa Pandey, Pankaj Sharma
Downloads: 106
Research Paper, Electronics & Communication Engineering, India, Volume 5 Issue 6, June 2016
Pages: 1126 - 1132Neurofuzzy Logic Concept to Find Prakriti of a Person Using Wireless Data Acquisition System
Anshu Barsagade, Prof. S. N. Joshi, Dr. Preeti Bajaj
Downloads: 108
Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 5, May 2015
Pages: 2725 - 2729Time Delay Processing In Networked Control System Using Smith Predictor and ANN Based Error Predictor
Shubhasree.A.V, Dr. Vijay Kumar
Downloads: 112
Review Papers, Electronics & Communication Engineering, India, Volume 3 Issue 6, June 2014
Pages: 1450 - 1453Implementation of Three Phase Induction Motor Control Drive Using PID and FUZZY Technique and Their Comparison
Neelima Shitole, N. D. Dhoot
Downloads: 114
Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 10, October 2015
Pages: 1016 - 1020GPS/RFID Integration Using Feed Forward Time Delayed Neural Networks
Suhas Kshirsagar, Sunita S. Shinde