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- W2393368943 abstract "The prediction of dissolved oxygen(DO)level is complicated in aquaculture ponds as a complex system with multi-variables,nonlinearity and long-time lag.In this study,GA-LM,a hybrid neural network model combining Levenberg Marquardt(LM)algorithm and Genetic Algorithm(GA)was developed for DO level predicting in an aquaculture pond at Dalian,China.The The comparison of performance of GA-LM with the conventional Back -Propagation(BP)algorithm revealed that the predicted DO values using GA-LM model are in good agreement with the measured data,indicating that the model is capable of predicting DO accurately and rapidly." @default.
- W2393368943 created "2016-06-24" @default.
- W2393368943 creator A5063385873 @default.
- W2393368943 date "2011-01-01" @default.
- W2393368943 modified "2023-09-23" @default.
- W2393368943 title "A prediction model for dissolved oxygen level in a fish pond based on combination of neural network and genetic algorithm" @default.
- W2393368943 hasPublicationYear "2011" @default.
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