Applications of Neural Networks and Genetic Algorithms in the Field of Water Science (Includes one CD-ROM)

Author: Yuan Ximin
Publisher:
Publish Date: 2002-01-01
Features: This book comprehensively and systematically introduces the latest research achievements in applying artificial neural networks and genetic algorithms to solve water science problems. In terms of theory: it applies artificial neural network technology to solve complex, fuzzy, and highly nonlinear problems such as flood and sediment prediction and forecasting, proposes a peak identification theory based on artificial neural networks, and uses genetic algorithms to optimize the initial weights of neural networks, achieving an organic combination of artificial neural networks and genetic algorithms. In terms of applications: it develops flood forecasting systems and multi-sediment flood forecasting systems based on the theories of artificial neural networks and genetic algorithms. Additionally, based on the investigation and analysis of a large number of domestic and international research achievements, the author reviews the applications of artificial neural network technology in water resources forecasting and optimization scheduling, environmental pollution prediction, satellite and remote sensing image recognition, and other fields. This book combines case studies to deeply elaborate on the applications of neural network technology and genetic algorithm theory, methods, and latest achievements in the field of water science, serving as an experience summary that connects theory with practical applications. This book is suitable for technical and research personnel in the fields of water conservancy, meteorology, environment, and remote sensing information, as well as scholars, university teachers, and students engaged in artificial intelligence and optimization technology application research, providing significant reference value.