Performance Evaluation of Two ANFIS Models for Predicting Water Quality Index of River Satluj (India)
المؤلفون المشاركون
Tiwari, Sharad
Babbar, Richa
Kaur, Gagandeep
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-20
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Water quality index is the most convenient way of communicating water quality status of water bodies, but its evaluation requires subjectivity in terms of user involvement and dealing with uncertainty.
Recently, artificial intelligence algorithms that are appropriate for nonlinear forecasting and also dealing with uncertainties have been applied to various domains of water quality forecasting.
This paper focuses on development of a data-driven adaptive neurofuzzy system for the water quality index using a real data set obtained from eight different monitoring stations across River Satluj in northern India.
Novelty in the paper lies in the estimation of water quality index using two different clustering techniques: fuzzy C-means and subtractive clustering-based ANFIS and assessing their predictive accuracy.
Each model was used to train, validate, and test the index that was obtained from seven water quality parameters including pH, conductivity, chlorides, nitrates, ammonia, and fecal coliforms.
The models were evaluated on the basis of statistical performance criteria.
Based on the evaluations, it was found that the SC-ANFIS method gave more accurate result as compared to the FCM-ANFIS.
The tested model, SC-ANFIS model, was further used to identify those sensitive parameters across various monitoring stations that were capable of causing change in the existing water quality index value.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tiwari, Sharad& Babbar, Richa& Kaur, Gagandeep. 2018. Performance Evaluation of Two ANFIS Models for Predicting Water Quality Index of River Satluj (India). Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1116820
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tiwari, Sharad…[et al.]. Performance Evaluation of Two ANFIS Models for Predicting Water Quality Index of River Satluj (India). Advances in Civil Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1116820
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tiwari, Sharad& Babbar, Richa& Kaur, Gagandeep. Performance Evaluation of Two ANFIS Models for Predicting Water Quality Index of River Satluj (India). Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1116820
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1116820
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر