Building Energy Conservation Technology Project Appraisal Based on General Regression Neural Network

As is strongly promoted by the State important strategy of ¿ energy conservation and emission reduction¿, the development of energy conservation technology of construction has been deepened in a comprehensive manner. Building energy conservation technology project appraisal is a system engineering involved many factors, single-index appraisal can´ t enforce the energy conservation project diffused more effectively. The main purpose of this study is to devise a general regression neural network (GRNN) based building energy conservation technology projection appraisal model, for this purpose 12 indicators such as FNPV and conditions system were chosen. Written software programs with MATLAB7.0 neural network toolbox to appraise building energy conservation technology project, trained and tested some Conservation system samples, get small error. This study shows the model have a higher accuracy to appraise building energy conservation technology projection.