Abstract
A method is described for constructing a model for the surface from an unordered set of measured points. Neuron nets are used to handle the task and provide features of visual perception. There is a discussion of the number of nonlinear neurons in a network having radial basic functions.
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References
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Translated from Izmeritel’naya Tekhnika, No. 9, pp. 6–10, September, 2006.
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Moiseev, S.V. Neuron nets for constructing three-dimensional models from acoustic location data. Meas Tech 49, 850–856 (2006). https://doi.org/10.1007/s11018-006-0201-x
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DOI: https://doi.org/10.1007/s11018-006-0201-x