A new N-parallel updating method of the Hopfield-type neural network for N-queens problem

摘要: In the previous N-parallel updating methods of Hopfield-type neural network for N-queens problem, N/spl times/N neurons have been grouped into N groups. Each group composed which are located in a same horizontal line (column) or diagonal line. However, these method did not give convergence results 100% all size N. Also, they required large time steps. our work, we propose new which, grouping has adopted. As result, simulation proposed show best performance than generally.