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This paper proposes a classification algorithm based on ensemble neural networks. In the training phase, the proposed algorithm uses a random number of training data to develop multiple random artificial neural network (ANN) models until those ANN models converge. Those models with lower accuracy than the threshold are filtered out. The remaining highly accurate models will be used to predict the...
Traditional Mining Frequent Pattems algorithms will construct lots of projected databases and generate lots of patterns with short length in the process of mining which cause the low efficiency of mining. In order to overcome the shortcomings of traditional algorithms, a fast and efficient algorithm SSPM was proposed. We used longer pattems for mining, which avoided producing lots of patterns with...
DNA gene sequences are the vectors of biologic genetic information. Z curves of gene sequences can convert character sequences into visual spatial curve, and it can improve the efficiency and accuracy of judging genetic sequences. This paper uses the geometrical center distance matrix of Z curve to analyze and compare gene sequences, and analyzes the effects of primary geometric center and secondary...
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