Application of BP Neural Network to Tendency Prediction of State Monitoring Data

Xu De Cheng; Hong Li Wang; Bing Xu; Wei Liu

doi:10.4028/www.scientific.net/AMM.556-562.2744

Paper Titles

A Fault Location Method for HVDC Transmission Lines
p.2723

Cardiac Arrhythmias Auto Detection in an Electrocardiogram Using Computer-Aided Diagnosis Algorithm
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Robust Zebra-Crossing Detection for Autonomous Land Vehicles and Driving Assistance Systems
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The Research of Tunnel Roof Separation Monitoring Device Based on STC12C5A
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Application of BP Neural Network to Tendency Prediction of State Monitoring Data
p.2744

Application of Time-Frequency Analysis & Blind Source Separation to Diagnosis of Faults with Generator Rotor System
p.2748

A Motion Edge Closing Method of Motion Edge Detection
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Research on the Passive Route Detection and Localization of Armored Optical Fiber Cable and its Simulation
p.2756

Feasibility Analysis of Reverse Sealed Testing String in HPHT Wells
p.2761

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Application of BP Neural Network to Tendency...

Application of BP Neural Network to Tendency Prediction of State Monitoring Data

Abstract:

BP neural network model for state monitoring data tendency prediction is constructed based upon neural network theory, and simulation programming is achieved with MATLAB. In the experiment, multiple data sets are selected for training and testing of the network to prove the validity of algorithm and model.