In this paper, we consider the convergence speed of mean field annealing (MFA). We combine MFA with microcanonical simulation(MCS) method and propose a new algorithm called microcanonical mean field annealing(MCMFA). In the proposed algorithm, cooling speed is controlled by current temperature so that computation in the MFA can be reduced without degradation of performance. In addition, the sol...

In this work a new fast training algorithm for the multilayer perceptron (MLP) is proposed. This algorithm is based on optimising a criterion formed from the Mean Squared and Mean Fourth power errors, resulting in a modified form of the Standard Back-Propagation (SBP) algorithm. In this criterion, the mean fourth power error signal is appropriately weighted. The choice of the weighting paramete...