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Abstract: An ensemble based approach for dealing with missing data, without predictingor imputing the missing values is proposed. This technique is suitable foronline operations of neural networks and as a result, is used for onlinecondition monitoring. The proposed technique is tested in both classificationand regression problems. An ensemble of Fuzzy-ARTMAPs is used forclassification whereas an ensemble of multi-layer perceptrons is used for theregression problem. Results obtained using this ensemble-based technique arecompared to those obtained using a combination of auto-associative neuralnetworks and genetic algorithms and findings show that this method can performup to 9% better in regression problems. Another advantage of the proposedtechnique is that it eliminates the need for finding the best estimate of thedata, and hence, saves time.



Author: F.V. Nelwamondo, T. Marwala

Source: https://arxiv.org/







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