Information Analysis Method of Intelligent Address Library Based on Deep Reinforcement Learning
In response to the problems of delayed updates of addresses within the address library and incorrect recognition by the system,a coupled hidden Markov model was used to optimize the language reception part,and an intelligent address library was designed using natural language processing algorithms.When the system was idle,the detection of deep reinforcement learning was achieved by comparing and iterating the concept tree with its own database.The experimental results show that the language module detection accuracy using a coupled hidden Markov model is above 90％,thus providing a feasible solution for information analysis of address libraries.
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