Prediction of Water Quality Indices by Using Artificial Neural Network Models: Prediction of Water Quality Indices

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Author(s): Prakash Chandra Mishra (Fakir Mohan University, India)and Anil Kumar Giri (Fakir Mohan University, India)
Copyright: 2017
Pages: 12
Source title: Handbook of Research on Manufacturing Process Modeling and Optimization Strategies
Source Author(s)/Editor(s): Raja Das (VIT University, India)and Mohan Pradhan (Maulana Azad National Institute of Technology, Bhopal, India)
DOI: 10.4018/978-1-5225-2440-3.ch020

Keywords: Business Science Reference / Industrial Engineering / Operations and Service Management / Science & Engineering

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Abstract

Conventionally, fixed techniques are used for prediction of future time-series data. Subsequently adaptive techniques are used to forecast improved future data. The adaptive techniques are essentially based on ANN and fuzzy logic techniques. It is observed that these techniques also perform poorly when the input data set available is less and when there is abrupt change in the input data set. In this paper the proposed hybrid technique is based on data farming for intermediate data generation and the ANN model for better learning and forecasting. The performance of the proposed model has been tested with actual pertaining to water quality indices of various water samples collected from different sources.

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Prediction of Water Quality Indices by Using Artificial Neural Network Models: Prediction of Water Quality Indices

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