Application Study Of The Intelligent Extraction Algorithm In Expert Database Extraction System

Since the1990s, the rapid development of the market economy brings vitality forprojects construction to bring vitality, and the work of bidding becomes the top priority.The work of bidding is an important way for selecting the builders of the bidding forconstruction projects, but also for ensuring the project quality and development. Thesuccess of the relationship between the success or failure of the entire constructionproject bidding, and evaluation work related to the success or failure of the bidding, thepool of experts to establish essential to play the major role in the bidding.After the implementation of “Bidding Law of the People’s Republic of China”, thecountry around the city tender management agencies have continued to establish alibrary of evaluation experts, the lack of supporting regulations, rules and thecorresponding backward tender bid evaluation management approach, the establishmentof assessment standard experts smaller-scale library basic professional subjects divided,construction technology evaluation experts I have the budget estimate of the capacity ofthe main as warehousing eligibility assessment standards, for a single constructionbidding and fixed evaluation methods, not the main aspect of the role played by theevaluation experts in Bid Evaluation. However, with the introduction of rules andregulations such as "Bid Evaluation Committees and ways Interim Provisions" and“Interim Measures for the Administration of evaluation experts and evaluation expertsdatabase”, the implementation of the expansion of the scope of the tender denominatedevaluation experts an increasingly prominent role in the evaluation process, leading tothe evaluation work are increasing the demand for all aspects of evaluation experts,which greatly promoted the development of the bid assessment expert database system.In the evaluation experts libraries established on the basis of the bidding faced withhow to ensure that the experts drawn fair, just and open question, in order to suppressfalse bidding, malpractice, black-box operation and other phenomena, to create a qualityservice, standardized and scientific clean and efficient tender management mechanism,from the source to prevent corrupt behavior is the key, in which the determination of the evaluation experts is an important part of the overall quality and the quality ofevaluation work related to the bid evaluation team of experts.Bidding for the work plays an important role in today’s construction projects toensure project quality and safety, one of the bid assessment expert database extractionwork as an important part of the bidding, the fairness and reasonableness affect thequality and safety of the project, for which this article an intelligent extractionalgorithm for the extraction of experts. The genetic algorithm as the basic framework, isintegrated into the body of the loop of BP neural network model. Genetic algorithmconvergence problems can be solved by integrating their advantages, getting rid of theirshortness.Therefore, this thesis uses the intelligent extraction algorithm to ensure the qualityof the evaluation work in the electronic bidding system.