实验技术与管理
實驗技術與管理
실험기술여관리
EXPERIMENTAL TECHNOLOGY AND MANAGEMENT
2014年
2期
27-30,36
,共5页
炉膛温度%BP神经网络%测量算法
爐膛溫度%BP神經網絡%測量算法
로당온도%BP신경망락%측량산법
furnace temperature%BP neural network%measurement algorithm
分析了火焰辐射图像的炉膛温度场的测量原理，建立了针对测量对象的非线性优化数学模型，提出了一种基于BP网络的温度场测量算法。通过构造BP神经网络，输入图像样本，输出温度样本和选择合适的样本训练网络，可得出炉膛的温度场分布情况。经过实验验证，该测试算法能有效提高测量精度，具有较好的应用前景。
分析瞭火燄輻射圖像的爐膛溫度場的測量原理，建立瞭針對測量對象的非線性優化數學模型，提齣瞭一種基于BP網絡的溫度場測量算法。通過構造BP神經網絡，輸入圖像樣本，輸齣溫度樣本和選擇閤適的樣本訓練網絡，可得齣爐膛的溫度場分佈情況。經過實驗驗證，該測試算法能有效提高測量精度，具有較好的應用前景。
분석료화염복사도상적로당온도장적측량원리，건립료침대측량대상적비선성우화수학모형，제출료일충기우BP망락적온도장측량산법。통과구조BP신경망락，수입도상양본，수출온도양본화선택합괄적양본훈련망락，가득출로당적온도장분포정황。경과실험험증，해측시산법능유효제고측량정도，구유교호적응용전경。
This paper analyzes the measurement principle of furnace temperature field based on flame radiation image ,establishes nonlinear optimization mathematical model aiming at measurement objects ,puts forward a temperature field measurement algorithm based on BP neural network ,by constructing the BP neural network , inputting image sample ,outputting temperature sample and choosing appropriate sample training network , which can draw the furnace temperature field distribution .Through experiments ,this algorithm can effectively improve the measurement accuracy and has a good application prospect .
