THE STRUCTURES OF ARTIFICIAL NEURAL NETWORKS USED FOR IMAGING SPECTRAL DATA PATTERN RECOGNITION

doi:10.6046/gtzyyg.2004.03.06

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Abstract When it is difficult or even impossible to construct a precise model for solving a problem, the artificial neural networks (ANN) will show its advantage. The selection of the structure of ANN to deal with a specific problem is important. In this paper, six kinds of multilayer feedforward neural networks models were used for imaging spectral data pattern recognition of characteristic minerals, and their learning difficulties, operation efficiencies and recognition effects were studied synthetically.

Issue Date: 02 August 2011

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Cite this article:

HE Yong-qiang, YAO Guo-qing . THE STRUCTURES OF ARTIFICIAL NEURAL NETWORKS USED FOR IMAGING SPECTRAL DATA PATTERN RECOGNITION[J]. REMOTE SENSING FOR LAND & RESOURCES,2004, 16(3): 23-27.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2004.03.06 OR https://www.gtzyyg.com/EN/Y2004/V16/I3/23

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