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- W2144402014 abstract "9 INTRODUCTION 13 1. Early warning systems for emerging waterborne pathogens 13 2. Microbial sewer water quality modeling: MOUSE 15 3. Identification of the contaminant source location 19 4. Application of Artificial Neural Networks 20 4.1. Parameter (function) estimation 20 4.2. Pattern recognition 21 4.3. Backpropagation (BP) 21 4.4. Generalized Regression Neural Network (GRNN) 23 PRESENT STUDY 26 REFERENCES 29 APPENDIX A: ASSESSMENT OF PHYSICALLY-BASED AND DATA-DRIVEN MODELS TO PREDICT MICROBIAL WATER QUALITY IN OPEN CHANNEL SYSTEMS 41 ABSTRACT 42" @default.
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- W2144402014 title "Surveillance System for Biological Agents in Water Systems" @default.
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