The role of genetic algorithms in neural network query-based learning and explanation facilities

Genetic algorithms are used as a means of achieving neural network inversion. Neural network inversion allows a user to find one or more neural network input patterns which yield a specific output. The input patterns obtained from the genetic algorithm can use in training partially-trained networks, as well as in the building of neural network system explanation facilities.<>