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- W2365410381 abstract "An artificial neural network(ANN) model was developed and used in different water bodies to predict timing for environmental changes as well as for the dynamics of resources.The results show that the ANN model is superior to classical statistical models (CSM) and can be used as predictive tool for highly non linear phenomena. ANN has the properties of parallel distribution processing and is adaptive in nature. Compared with CSM, two examples proved that ANN could be trained successfully, even if the available data were insufficient and irregular, while CSM showed the limit in selecting model type and non-linear optimization. There is no doubt that ANN has broad prospective in the development of resources and management of water quality." @default.
- W2365410381 created "2016-06-24" @default.
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- W2365410381 date "2000-01-01" @default.
- W2365410381 modified "2023-09-27" @default.
- W2365410381 title "THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN THE RESOURCES AND ENVIRONMENT" @default.
- W2365410381 hasPublicationYear "2000" @default.
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