A Proposal to Solve N-Queens Problems Using Maximum Neuron Model with A Modified Hill-Climbing Term

An effective solving method with a modified hill-climbing term which is applied to a maximum neuron model for the N-Queens problems is proposed. In which, a first model using a gradient ascent learning for determining A and B coefficients, a second model using fixed A and B coefficients which are determined by an upper bound of an input value to a neuron, and a third model using modified initial values which applied to the second model, have been adopted. As a result, calculation times are reduced when compared with the previous methods.