Optimal design of intelligent garbage classification system based on expert system
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Yun Liu, Yusi Chen
In order to realize the effective recycling of renewable resources, China has carried out compulsory classification of garbage. However, when people throw away garbage, they are faced with the problem of classification and identification. In order to facilitate users to classify and throw garbage. Expert system is also different from general database system and knowledge base system. What is stored in the expert system is not the answer, but the ability and knowledge of reasoning. In this paper, the optimization design of intelligent garbage classification system based on expert system is studied. The expert system is combined with ANN(artificial neural network), and multi-layer neural network is used to form the expert system. The learning algorithm takes all the neural offset values as the adjustment objects of the learning algorithm, thus improving the mapping ability of the whole network and speeding up the learning speed without increasing the number of neural network layers. The test shows that the system can automatically classify the common garbage in life.
Garbage classification; Expert system; Neural network