支持向量机算法在电厂中的应用

支持向量机(SVM)是基于结构风险最小化原理的机器学习技术,在解决小样本、非线性和高维的机器学习问题中表现出许多特有的优势,适用于函数预测、模式识别和数据分类领域.该算法在火电厂运行优化、清洁生产、故障诊断等方面均有应用,参数预测精度能够满足工程应用,为火电厂的节能优化和故障诊断提供一个新的研究方向.

Application Research of Power Plant Based on Support Vector Machine Algorithm

Support Vector Machine(SVM) is a machine learning technique demonstrating many peculiar advantages in solving machine learning problems of small sample,nonlinear and high dimensional.It is applicable to the field of function prediction,pattern recognition and data classification.The algorithm is applied to operation optimization,clean production,and fault diagnosis in thermal power plant,and its parameter prediction accuracy can satisfy the engineering applications,and thns provides a new research direction for the thermal power plant operation optimization and fault diagnosis.