A BP Neural Network Model Based on Concept Lattice

Abstract

Based on the advantages of concept lattices and neural networks, this paper presents a concept lattice-based neural network model. In terms of Concept Lattice theory, we carry on attribute reduction of concept lattice and then the key elements are extracted, which can be used as input of BP neural network. Furthermore, the concept lattice-based neural network model can be set up after the sample training of BP neural network. Finally, the results of simulative experiment show that the model can simplify the BP neural network training sample, optimize the BP neural network structure and also enhance the study efficiency and precision of the system. So, this novel method is effective and feasible, what’s more, the theoretical significance and practical value are also outstanding.