SHORT TERM PREDICTION OF AIR POLLUTION USING MLP, GAMMA, ANFIS, AND MIXED TRAINING METHODS BASED ON PSO

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ALIARI SHOUREHDELI M.; TESHNEHLAB M.; KHAKI SEDIGH A.

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Journal: Journal of Control Year:2008 | Volume:2 | Issue:1 Page(s): 1-19

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Title

SHORT TERM PREDICTION OF AIR POLLUTION USING MLP, GAMMA, ANFIS, AND MIXED TRAINING METHODS BASED ON PSO

Author(s)

ALIARI SHOUREHDELI M. | TESHNEHLAB M. | KHAKI SEDIGH A. | Issue Writer Certificate

Keywords

MULTI LAYER PERCEPTERON NEURAL NETWORKSQ3

TIME SERIESQ3

AIR POLLUTIONQ3

TIME DELAY MEMORYQ3

GAMMA NEURAL NETWORKQ3

ANFISQ3

PARTICLE SWARM OPTIMIZATIONQ3

AND EXTENDED KALMAN FILTERQ3

Abstract

In this study we predict AIR POLLUTION data by using Multi Layer Percepteron, Time Delay Line, Gamma and ANFIS by gradient free learning methods. This paper, using real data for Arak city during Oct 2003, the following pollution parameters are analysed: Co (Carbon Monoxide), PM10 (Particulate Matter).This analysis is carried out in two stages: Predictability analysis using Lyapanov, Exponent, Correlation Dimension and Rescaled Range Analysis (R/S), Prediction using Multi layer perceptron, Time delay line, Gamma and ANFIS. Also, a comparative study is performed using the different methods employed and prediction results are provided to show the effectiveness of the predictions.

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APA: Copy

ALIARI SHOUREHDELI, M., TESHNEHLAB, M., & KHAKI SEDIGH, A.. (2008). SHORT TERM PREDICTION OF AIR POLLUTION USING MLP, GAMMA, ANFIS, AND MIXED TRAINING METHODS BASED ON PSO. JOURNAL OF CONTROL, 2(1), 1-19. SID. https://sid.ir/paper/120931/en

Vancouver: Copy

ALIARI SHOUREHDELI M., TESHNEHLAB M., KHAKI SEDIGH A.. SHORT TERM PREDICTION OF AIR POLLUTION USING MLP, GAMMA, ANFIS, AND MIXED TRAINING METHODS BASED ON PSO. JOURNAL OF CONTROL[Internet]. 2008;2(1):1-19. Available from: https://sid.ir/paper/120931/en

IEEE: Copy

M. ALIARI SHOUREHDELI, M. TESHNEHLAB, and A. KHAKI SEDIGH, “SHORT TERM PREDICTION OF AIR POLLUTION USING MLP, GAMMA, ANFIS, AND MIXED TRAINING METHODS BASED ON PSO,” JOURNAL OF CONTROL, vol. 2, no. 1, pp. 1–19, 2008, [Online]. Available: https://sid.ir/paper/120931/en

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