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.
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