Abstract
In order to study the application of intelligent water resources system combined with artificial intelligence in flood forecasting, this paper mainly introduces the model of combining BP neural network with genetic algorithm and the expert system. BP neural network is a nonlinear dynamic system composed of simple information processing units. Its flood forecasting process is the process of obtaining the nonlinear function FBP by using historical hydrological data. On this basis, genetic algorithm is added, the initial weight is further optimized, and the flood forecast is more accurate. By collecting and absorbing the local water conservancy and hydrological situation, the expert system matches the case facts with the global facts and rules, and abstracts the wisdom of the experts into the system as a knowledge base or database for flood forecasting. These two methods combine artificial intelligence with flood forecast, and create conditions for the further development of intelligent water resources system.
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Acknowledgments
This work was financially supported by Chongqing key research and development projects of social and livelihood (No. cstc2018jscx-mszdX0052). The supports are gratefully acknowledged.
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Wang, Y., Wen, J., Sun, G., Zhang, W. (2020). Development of Intelligent Water Resources System Combined with Artificial Intelligence in Flood Forecasting. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2019. Advances in Intelligent Systems and Computing, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-030-34387-3_34
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DOI: https://doi.org/10.1007/978-3-030-34387-3_34
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