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Category classification method using a self-organizing neural network

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Abstract. We apply a new category classification method to remote sensing data. This is a supervised and non-parametric method and employs both a selforganizing neural network and a k -nearest neighbour method. One of the features of the category is represented by the neuron weights after training the neural network based on a competitive learning role. From experimental results, we can see that the proposed method obtains superior classification results compared to other methods.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/014311697218782

Publication date: March 10, 1997

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