关键词: 混沌神经网络, 信息检索, 查询扩展

Abstract: To resolve the problem that general information retrieval models need exact match, a new query expansion was provided. With strong memory, learning and association ability, the chaotic neural network was used to learn from users query operations. Then users initial query condition was expanded and reconstructed so that the different retrieval results could be acquired to satisfy the users query motivation. The experimental results prove that the new model has better performance than the traditional neural network information retrieval models.

Key words: Chaotic Neural Network (CNN), Information Retrieval (IR), query expansion