Study on the Energy-saving of Cold Storage Based on Fuzzy Neural-Network

In order to overcome the startup or shutdown frequently of cold air-conditioning systems and the inefficiencies of energy-saving,the optimizing and reforming about refrigerated air conditioning system for compressor based on Elman neural network fuzzy control algorithm were put forward,furthermore,using different amounts of temperature deviation as the input fuzzy control,fuzzy control rules were generated based on real-time online learning by Elman neural network to regulate,control and optimize the running status of refrigerating system.Test data showed that the efficiency of modified refreshing refrigerated system had obvious results,and the operating stability was improved,moreover,the problems about frequent starting of compressor were overcome.