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- W2015383968 abstract "The feasibility of using the neural network technique of backpropagation for analyzing the large multidimensional data acquired by satellites is discussed. Techniques are developed for selecting a training data set and accelerating the convergence during the learning phase. Attention is directed to the computational efficiency; both the computer code and the algorithm are carefully examined. A technique for proper selection and preprocessing of the data is developed to provide a good training set. An empirically based equation for selection of a stable learning rate is also presented. The adaptive backpropagation learning technique developed is 5-10 times faster than standard backpropagation" @default.
- W2015383968 created "2016-06-24" @default.
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- W2015383968 date "1990-01-01" @default.
- W2015383968 modified "2023-09-23" @default.
- W2015383968 title "Analysis of large multi-dimensional data with a backpropagation neural network" @default.
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- W2015383968 doi "https://doi.org/10.1109/ijcnn.1990.137617" @default.
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