Khataee, Ali R.

Artificial Neural Network Modeling of Water and Wastewater Treatment Processes. - 1st ed. - 1 online resource (116 pages) - Computer Science, Technology and Applications . - Computer Science, Technology and Applications .

Intro -- ARTIFICIAL NEURAL NETWORK MODELING OF WATER AND WASTEWATER TREATMENT PROCESSES -- ARTIFICIAL NEURAL NETWORK MODELING OF WATER AND WASTEWATER TREATMENT PROCESSES -- CONTENTS -- PREFACE -- Chapter 1 INTRODUCTION -- Chapter 2 TOPOLOGY OF ARTIFICIAL NEURAL NETWORKS -- 2.1. TRANSFER FUNCTIONS -- 2.2. LEARNING PROCESS -- 2.2.1. Supervised Learning -- 2.2.2. Reinforcement Learning -- 2.2.3. Unsupervised Learning -- 2.3. TRAINING ALGORITHMS -- 2.3.1. Back Propagation Algorithm -- 2.3.1.1. Conjugate Gradient Algorithm -- 2.3.1.2. Scaled Conjugate Gradient Algorithm -- 2.3.2. Quasi-Newton Algorithms -- 2.3.3. Levenberg-Marquardt Algorithm -- Chapter 3 TRAINING, VALIDATION AND TEST OF A NEURAL NETWORK -- 3.1. TEST OF THE FITTED MODEL -- 3.2. RELATIVE IMPORTANCE OF INPUT VARIABLES -- 3.3. IMPROVING GENERALIZATION -- 3.3.1. Regularization -- 3.3.2. Early Stopping -- Chapter 4 APPLICATIONS OF ARTIFICIAL NEURAL NETWORK MODELING -- Chapter 5 ANN MODELING OF ADSORPTION PROCESSES -- Chapter 6 ANN MODELING OF BIOLOGICAL TREATMENT PROCESSES -- Chapter 7 ANN MODELING OF ELECTROCHEMICAL TREATMENT PROCESSES -- Chapter 8 ANN MODELING OF PHOTOCATALYTIC PROCESSES -- Chapter 9 ANN MODELING OF PHOTOOXIDATIVE PROCESSES -- 9.1. FENTON AND PHOTO-FENTON PROCESSES -- 9.2. UV/H2O2, OZONATION AND CHLORINATION PROCESSES -- CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- INDEX.

ISBN: 9781612094618

Subjects--Topical Terms:
Sewage -- Purification -- Computer simulation.
Water -- Purification -- Computer simulation.
Neural networks (Computer science).

Index Terms--Genre/Form:
Electronic books.

LC Class. No.: TD745 -- .K43 2011eb

Dewey Class. No.: 628.1620113