مقاله پیش‌بینی موثر انرژی براساس مدل PCA FRBF

عنوان مقاله فارسی: پیش‌بینی موثر انرژی براساس مدل PCA - FRBF: مطالعه موردی صنایع اتیلن عنوان مقاله لاتین: Energy Efficiency Prediction Based on PCA-FRBF Model: A Case Study of Ethylene Industries نویسندگان: Zhiqiang Geng; Jie Chen; Yongming Han تعداد صفحات: 10 سال انتشار: 2017 زبان: لاتین Abstract: Energy conservation and emission reduction in the ethylene industry is the main way to attain sustainable development, which can be achieved if the energy efficiency of petrochemical industries can be accurately analyzed and predicted. This paper proposes an improved radial basis function neural network based on fuzzy C-means (FCM) algorithm integrated with principal component analysis (PCA) technology (PCA-FRBF). The PCA is used to denoise and reduce dimensions of data to