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基于灰色神经网络模型预测变压器油中溶解气体的含量
引用本文:王江涛. 基于灰色神经网络模型预测变压器油中溶解气体的含量[J]. 安徽电力职工大学学报, 2013, 0(1): 70-73
作者姓名:王江涛
作者单位:保定供电公司,河北保定071003
摘    要:建立了变压器油中溶解气体的灰色神经网络预测模型,用MATLAB仿真计算,结果表明该模型优于单独GM(1,1)模型。

关 键 词:变压器  神经网络  灰色预测  组合模型

Content Prediction of Gas Dissolved in Transformer Oil Based on the Grey Neural Network Model
WANG Jiang-tao. Content Prediction of Gas Dissolved in Transformer Oil Based on the Grey Neural Network Model[J]. Journal of Anhui Electric Power College for Staff, 2013, 0(1): 70-73
Authors:WANG Jiang-tao
Affiliation:WANG Jiang-tao ( Baoding Power Supply Company, Baoding 071003, China)
Abstract:The prediction model of gas dissolved in transformer oil based on the theory of grey system and BP artificial neural network is built. By means of MATLAB simulating calculation, the result shows this model is better than single GM (1,1) model.
Keywords:transformer  artificial neural network  grey prediction  combined model
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