Open access peer-reviewed chapter

The Use of Artificial Neural Network (ANN) for Modelling, Simulation and Prediction of Advanced Oxidation Process Performance in Recalcitrant Wastewater Treatment

By Emad S. Elmolla and Malay Chaudhuri

Submitted: June 1st 2010Reviewed: October 1st 2010Published: April 11th 2011

DOI: 10.5772/14920

Downloaded: 4236

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Emad S. Elmolla and Malay Chaudhuri (April 11th 2011). The Use of Artificial Neural Network (ANN) for Modelling, Simulation and Prediction of Advanced Oxidation Process Performance in Recalcitrant Wastewater Treatment, Artificial Neural Networks - Application, Chi Leung Patrick Hui, IntechOpen, DOI: 10.5772/14920. Available from:

chapter statistics

4236total chapter downloads

3Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Construction of Optimal Artificial Neural Network Architectures for Application to Chemical Systems: Comparison of Generalized Pattern Search Method and Evolutionary Algorithm

By Matthias Ihme

Related Book

First chapter

Introduction to the Artificial Neural Networks

By Andrej Krenker, Janez Bešter and Andrej Kos

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us