Author:
Boronnikov D. A,Pantiukhin D. V,Danko S. V
Abstract
Neural network algorithm of spatial relief data organization and its implementation in Matlab language are developed. Experimental studies on the example of terrain data of the Ozerniy mining and processing plant showed that the neural network has successfully memorized and generalize input information about the terrain (110149 spatial points ) with an error less than 0.5 meters. Compression ratio of the input data is about 12 to one.
Cited by
2 articles.
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1. Neural network-based method for determining vessel position by seabed relief;Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova;2023-11-09
2. Seabed relief-based vessel position fixing with a neural network;Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova;2023-07-25