Research on Optimization of Library Book Network Management Platform Based on Improved Genetic Algorithm

The characteristics and many problems of network information resources determine the complexity and criticality of the proposition of network information resources organization and management. Effective ways must be taken to strengthen its organization and management. In view of the requirements of library digital resource aggregation quality evaluation, the BP (Back Propagation) neural network is improved based on genetic algorithm, and then a more optimized library digital resource aggregation quality prediction model is constructed. Taking advantage of the advantages of genetic algorithm, such as simple calculation, small dependence on the problem to be solved, fast concurrent thread calculation, etc., the population diversity is improved by defining the population with generalized Hamming distance, and population selection, crossover, mutation operations are carried out to solve the initial weight and threshold; The improved genetic algorithm is introduced into the BP neural network. Through constant adjustment of weight and threshold, it quickly converges to the set value of fitness, and finally further optimizes the prediction results. With the development of library scale from "quantity accumulation stage" to "quality refining stage", the phenomenon of "information overload" has become increasingly serious. Faced with such huge and rapidly changing information, users feel helpless and unable to find information related to demand. How to use information filtering to find the information that users are interested in more effectively and accurately has become an urgent task for library research. In the late 1980s. The "electronic library" and "virtual library" have attracted attention in developed and poor families, and have implemented relevant programs and projects of such libraries, which have achieved great success. With the continuous growth of digital library storage databases, database query technology is becoming more and more important. This paper introduces the database query optimization technology based on genetic algorithm, and the research of genetic algorithm in digital library information query, and gives the specific implementation method.