摘要
基于偏最小二乘回归算法建立了燃煤碳元素分析模型。该模型以工业分析成分中的水分、灰分、挥发分和发热量为输入向量,以燃煤的碳元素为输出向量。利用偏最小二乘回归算法所具有的可以逼近任意非线性映射的能力,来模拟实际的输入输出关系。通过对预测方程进行训练和检验,结果表明,该分析模型预测精度是满足工程要求的。因此,所建模型是合理可行的。
A model was built for the purpose of analysis of carbon in coal-fired based on partial least squares regression algorithm, in which there were four input vectors, which were moisture, ash, volatile matter and calorific value, and one output vector, which was carbon in coal-fired. The partial least squares regression algorithm has the ability of approximating any nonlinear mapping, so it can be used to simulate the input-output relationship. By training and testing the equation, it proved that the prediction accuracy of the analysis model meets the engineering requirements. Therefore, the model is reasonable and feasible.
出处
《东北电力大学学报》
2012年第3期31-36,共6页
Journal of Northeast Electric Power University
基金
国家自然科学基金项目(51076025)
国家自然科学基金项目(51176028)
关键词
偏最小二乘回归算法
燃煤碳元素
分析模型
工业分析
Partial least squares regression algorithm
Carbon in coal-fired
Analysis model
Industry analysis
