The paper dwells on the methodology of neural-fuzzy approach to solving the problem of ship collision prevention in a heavy traffic\nzone. The authors present the technique of using maneuvering board to form the elements of learning sample. The authors prove\nthat it is rational to use a neural-fuzzy system, where generation is carried out by the lattice method without clustering.The authors\ninvestigate the effect of optimization on the quality differences.The researchers define optimal membership functions that are used\nto generate the input linguistic variables of a neural-fuzzy system.
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