Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The presented paper compares forecast of drought indices based on two different models of artificial neural networks. The first model is based on feed forward multilayer perceptron, sANN, and the second one is the integrated neural network model, hANN. The analyzed drought indices are the standardized precipitation index (SPI) and the standardized precipitation evaporation index (SPEI) and re derived for the period of 1948-2002 on two US catchments. The meteorological and hydrological data re obtained from MOPEX experiment. The training of both neural network models was made by the adaptive version of differential evolution, JADE. The comparison of models was based on six model performance measures. The results of drought indices forecast, explained by the values of four model performance indices, show that the integrated neural network model was superior to the feedforward multilayer perceptron with one hidden layer of neurons.
['Petr Máca', 'Pavel Pech']
I am writing a research paper on a idea Forecasting SPEI and SPI drought indices using the integrated artificial neural networks
[{"from": "human", "value": "I am writing a research paper on a idea Forecasting SPEI and SPI drought indices using the integrated artificial neural networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The presented paper compares forecast of drought indices based on two different models of artificial neural networks. The first model is based on feed forward multilayer perceptron, sANN, and the second one is the integrated neural network model, hANN. The analyzed drought indices are the standardized precipitation index (SPI) and the standardized precipitation evaporation index (SPEI) and re derived for the period of 1948-2002 on two US catchments. The meteorological and hydrological data re obtained from MOPEX experiment. The training of both neural network models was made by the adaptive version of differential evolution, JADE. The comparison of models was based on six model performance measures. The results of drought indices forecast, explained by the values of four model performance indices, show that the integrated neural network model was superior to the feedforward multilayer perceptron with one hidden layer of neurons."}]