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Artificial Neural Network Modeling of Water and Wastewater Treatment Processes $51.00
Authors: Ali R. Khataee, Masoud B. Kasiri (University of Tabriz, Tabriz, Iran) 
Book Description:
Artificial neural networks (ANNs) are computer based systems that are designed to simulate the learning process of neurons in the human brain. ANNs have been attracting great interest during the last decade as predictive models and pattern recognition. Artificial neural networks possess the ability to “learn” from a set of experimental data without actual knowledge of the physical and chemical laws that govern the system. Therefore, ANNs application in data treatment is high, especially where systems present nonlinearities and complex behavior. This book describes the application of artificial neural networks for modeling of water and wastewater treatment processes. (Imprint: Novinka Books)

Table of Contents:
Abstract

Acknowledgments

1. Introduction

2. Topology of artificial neural networks

3. Training, validation and test of a neural network

4. Applications of artificial neural network modeling

5. ANN modeling of adsorption processes

6. ANN modeling of biological treatment processes

7. ANN modeling of electrochemical treatment processes

8. ANN modeling of photocatalytic processes

9. ANN modeling of photooxidative processes

10. Conclusion

References

Index

   Series:
      Computer Science, Technology and Applications
   Binding: ebook
   Pub. Date: 2011
   Pages: 6 x 9 (NBC - C)
   ISBN: 978-1-61209-461-8
   Status: AV
  
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