Abstract
The patent retrieval needs to face a large amount of data, and in order to achieve high precision and rapid retrieval, this paper carries out multiple feature matching retrieval by combining the chaos theory and genetic algorithm. Traditional patent retrieval is based on the similarity of semantic key words, and the effect is single and fixed. The genetic algorithm has the function of adaptive intelligent search. It can search the patent database adaptively according to user interest, and the search efficiency is higher. According to the patent search, the search domain of multi feature dimension is established, and the key content of interest is found in the search domain, and the retrieval purpose is realized more accurately by multi dimension matching fusion. Finally, the patent database is established by simulation, and the simulation of different retrieval conditions is carried out. The performance of the algorithm in the convergence speed, the search accuracy and so on is verified, and the application prospect and significance of this algorithm in patent retrieval are also studied.
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