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Maleerat Maliyaem. The amount of solid waste forecasting using time series ANFIS. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
The amount of solid waste forecasting using time series ANFIS
Name: Maleerat Maliyaem
Organization :
King Mongkut's University of Technology North Bangkok. The Faculty of Information Technology and Digital Innovation
Email :
maleerat.m@itd.kmutnb.ac.th
ThaSH:
Time-series analysis
ThaSH:
Quantitative analysis
ThaSH:
Refuse and refuse disposal
ThaSH:
MATLAB (Computer program)
Abstract:
Due to the increasing of population in Thailand and not well educated on what recycling is and how an individual's actions can make a difference. It caused problems related to solid waste management in Bangkok. This paper aims to develop a predictive model to forecast the amount of solid waste using Adaptive Neuro-Fuzzy Inference System (ANFIS). The solid waste data was collected from Bangkok in total of fifty districts between October 2002 and December 2015 to support the decision system for solid waste management and a solid waste controlling promotion guideline. The data was collected with no missing values. Therefore, the filtering is consided with an outlier that it is significantly different from the group or divergent from the other data values. The Z-score is used to measure a score's relationship with the mean value in a group of scores. An ANFIS model and data analysis have been investigated and performed using MATLAB. The performance result is given quite good values in terms of Root Mean Square Error (RMSE) and Mean Absolute Error (MAE).
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2025-07-03
Issued:
2025-07-03
บทความ/Article
application/pdf
BibliograpyCitation :
In Science and Technology Research Institute, King Mongkut's University of Technology North Bangkok, ECTI Association and IEEE Thailand Section. 2021 Research, Innovation, and Innovation Congress (RI2C 2021) (pp.5-8). Bangkok : Science and Technology Research Institute
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.01857 วินาที
Maleerat Maliyaem
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