Font Size: a A A

The Research And Application Of BP Neural Network In Data Classification Of Information System

Posted on:2014-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:Y D HuangFull Text:PDF
GTID:2248330398983043Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Over the past twenty years, the computer industry is developing rapidly.Geological survey industry is also carrying on the computerized and digital revolution.Along with the development of the computer information technology, the traditionalpaper-based data and project management mode is no longer available for the actualgeological exploration industry. A new information system application technology isgradually added to the geological exploration project supervision system. Thegeological exploration project supervision system provides the information platformfor real-time, standardization and automation to the geological exploration projectsupervision and management, to achieve dynamic monitoring to field constructionprogress and quality of the project, so as to achieve the aim of remote managementand office network.Artificial neural network in recent years has been paid much attention toresearching by computer scientist, and make it be a universal algorithm model thatcan be applied to all kinds of subjects.And the BP neural network is being widely usedin many fields such as pattern recognition and discriminant classification. The BPneural network will provide referential basis for judging the geological explorationproject completion quality.Mountain project data collection and supervision management system issubprojects of the regulatory platform of the Central Geological Prospecting FundCenter Remote Supervision&Management Platform. The main line of the systemdesign is the construction plan and construction program of the mountain project,including creating the project, creating the role permissions, technical personnel dataentry personnel supervision, supervision management, mountain indicators extraction,and other functions. All steps of the mountain project construction process have been included, to help fund center contorlling the national geological exploration projectsin all views. BP neural network classification system is to help policymakersmonitoring the quality of completed project in real-time, and warning the unqualifiedproject construction in advance.This topic is based on the Central Geological Prospecting Fund Center RemoteSupervision and Management Platform.The main research contents and finished workare as follows:1) Collect and summary geological survey data of the Central GeologicalProspecting Fund Center, detail the research background and research significance,and analyze of the geological exploration system research status at home and abroad.2) Research the basic theory of BP neural network, analyze its advantage anddefect, put forward the improved BP neural network algorithm, and implement it.3) Design database model according to the characteristics of the mountainengineering data and form format.4) Detail system requirements and functional design, design system architectureand function.5) Complete system code, and use real data test the system and analysis the data.
Keywords/Search Tags:Mountain Engineering, Data Collection, Data Storage, BP neuralnetwork, Data Classification
PDF Full Text Request
Related items