Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques

By Murat Ay, Ozgur Kisi. 2014

96 citations recorded by the source corpus.

Subfields: Environmental Engineering, Industrial and Manufacturing Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/3588c922648b3cc4e56e77535df06a82cbf8f73a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Yeqi Liu
2. Daoliang Li
3. Ling Yang
4. Lihua Song
5. Yingyi Chen

In Water Science and Technology

1. Yeqi Liu
2. Daoliang Li
3. Ling Yang
4. Lihua Song
5. Yingyi Chen

Citations in the corpus

• A Review of the Artificial Neural Network Models for Water Quality Prediction (2020, methodology): “Clustering methods [50] such as K-means-MLP [43] identify the data belonging to a particular class.”