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Rainfall prediction is an important part of weather prediction. Compared to conventional methods predicting rainfall rate, the approach applying historical records and data mining technology shows obviously advantage in computing cost. Many excellent works have been done attempting to build predicting model with data mining methods, however, most of them just test the predicting accuracy on data set...
To solve the problem that a single model can not precisely describe the global properties of the lumber moisture content (LMC) during the wood drying process, LMC measurement based multi-modeling method is presented in this paper. The method based on double layers intelligent structure which Fuzzy C-Means clustering is classification layer to classify equivalent resistance value, the inlet ambient...
In order to experiment the performance of some popular ANN algorithms to OMIS (Operational Modular Imaging Spectrometer) hyperspectral image, three widely used ANNs, including Back Propagation Neural Network (BPNN), Radial Basis Function Neural Network (RBFNN), Fuzzy ARTMAP network and their improvements, are employed and compared. It is concluded that ANN classifiers perform much better than traditional...
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