Research on university library information level measurement based on genetic algorithms and neural networks
COMPUTER MODELLING & NEW TECHNOLOGIES 2013 17(5C) 19-22
Library of Zhongzhou University, Zhengzhou 4500044 China
Setups a comprehensive indexes system for the evaluation of academic library digitalizing level, presents a new evaluation model for academic library digitalizing level by combining genetic algorithm and BP neural network. Experimental results demonstrate the developed model is valid and practical. The model can give a scientific theoretic guidance for the evaluation of academic library digitalizing level. On the basis of the establishment of the University library digitalizing level evaluation index system based on the proposed neural network based on genetic algorithm Mechanism, and thus give a new university library information level evaluation methods. Measured results show that the evaluation model Effectiveness and practicality of the University Library Information Evaluation provides a more scientific theory.