Research on the Quality Evaluation of Digital Collections Based on Radial Basis Funcion Neural Network

According to the self-organizing, self-learning and self-adapting characteristics of RBF neural network, this paper proposes the method for evaluating the quality of digital collections that is based on RBF Neural Network and builds up an evaluation model. The digital collection quality of five universities in Yantai and Weihai districts, Shandong Province, has been evaluated under such model. Analysis of the result of MATLAB simulation test has proved that the model is feasible and effective.