基于神经网络工序能耗模型的研究  

Research of the Unit Process Energy Consumption Model Based on Neural Network

作　　者：聂子坤[1] 龙伟[1] 章鸿[1] 

机构地区：[1]南昌大学信息工程学院,江西南昌330031

出　　处：《新技术新工艺》2008年第2期19-21,共3页New Technology & New Process

摘　　要：根据企业节能降耗的需求,对工序能耗模型进行了研究。首先利用主成分分析法从大量影响因素中挑选相对主要因素;其次采用RBF神经网络为汽车企业建立了工序能耗模型。神经网络模型误差范围在±2%之内,此网络模型符合工序能耗模型,可靠性高。According to the demand of energy saving and energy conservation, unit process energy consumption is researched in this paper. Firstly the principal component analysis is utilized to choose main factor from many factors. Secondly, RBF neural network is utilized to set up unit process energy consumption model. The error of unit process energy consumption model is within .The model is suitable for unit process energy consumption model, which is high reliability.

关 键 词：RBF神经网络 主成分分析 工序能耗 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]