Dec 14, 2018 · The main objective of this research project is to investigate and develop an effective ANN model that is able to predict surface water levels ...
Development of an Artificial Neural Network Model for Predicting ...
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Artificial Neural Networks (ANNs) have proven that they can be used to develop such prediction models and tools. This research makes use of experimentation, ...
Artificial Neural Networks (ANNs) have proven that they can be used to develop such prediction models and tools. This research makes use of experimentation, ...
Development of an Artificial Neural Network Model for Predicting Surface Water Level: Case of Modder River Catchment Area. https://doi.org/10.1007/978-3-030 ...
Bibliographic details on Development of an Artificial Neural Network Model for Predicting Surface Water Level: Case of Modder River Catchment Area.
In this paper, neural networks are used to predict real-time water levels in Shing Mun River of Hong Kong with different lead times on the basis of the upstream ...
Development of an Artificial Neural Network Model for Predicting Surface Water Level: Case of Modder River Catchment Area . Van Vuuren, Jandre Janse ...
Development of an Artificial Neural Network Model for Predicting Surface Water Level: Case of Modder River Catchment Area · Jandre Janse van VuurenM. MasindeN ...
Abstract. In this research, we propose recurrent neural networks (RNNs) to build a relationship between rainfalls and water level patterns of an urban ...
Aug 1, 2022 · The goal of this study is to assess the capacity of the ANN model to forecast discharge (output) by employing river flow characteristics and ...