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- W2554319035 abstract "The paper applies the self-organizing neural network to optimization of tool path on the workpiece during drilling. The model shows the implementation of the artificial intelligence method on modern manufacturing system. The tool must make all drilled holes covering the shortest path between them. The locations of drilled holes to be made by the tool were represented with two-dimensional vectors of synaptic weights of neurons from the network. Due to the properties of the quantization stage during learning with equivalent algorithm of the self-organizing neural networks the vector of synaptic weights in the network became similar and, in the end, even identical to input vectors. The model correctly selects also the required tool for the individual drilled hole." @default.
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- W2554319035 date "2007-01-01" @default.
- W2554319035 modified "2023-10-04" @default.
- W2554319035 title "OPTIMIZATION OF TOOL PATH DURING CNC DRILLING" @default.
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