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- W2615521031 abstract "A model to predict the occurrence probability of blackspots on potatoes is presented. The assessment of the quality factors in point of view of their usability as input into the prediction model, based on a competitive approach, is discussed. Neural networks are distributed in a computer cluster. These neural networks are trainedwithpre-recorded datasets stored in an online database. Variants of neural networks are created, differing in their preprocessing ca ability of the input vector. The results of the prediction system are compared with the data from real blackspot indices ofmeasured surfaces ofpotato samples. The prediction error is re-input into the neural network for backpropagation, and the prediction quality of the network is improved. The process for calculating different variants of neural networks at the same time is shared of several workstationsin a cluster." @default.
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- W2615521031 date "2001-06-01" @default.
- W2615521031 modified "2023-10-03" @default.
- W2615521031 title "Neural Networks for Influence Analysis on the Quality of Potatoes" @default.
- W2615521031 doi "https://doi.org/10.1016/s1474-6670(17)33630-3" @default.
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