Y. R. Tsoy

  • Citations Per Year
Learn More
In this paper a developed evolutionary algorithm (NEvA) for simultaneous connections and weights of neural network training is described. A distinctive feature of the algorithm is flexible and effective evolutionary search and a balanced resulting neural network structure due to adaptive mutation operator. In NEvA neural network structure changes, caused by(More)
This paper concerns problem of selection of optimal subset of irredundant unconditional diagnostic tests by means of evolutionary approach. The method of correction of features’ weight, cost and damage coefficients for the test patterns recognition is proposed. The suggestion is made that evolutionary programming approach would be more appropriate than(More)
  • 1