由分析 WWW 缓存模型,我们向前基于模糊理论和用户兴趣带一个 user-interestdescription 方法推论的关系基于 BP (背繁殖) 神经网络。由这个方法,用户对 WWW 缓存的兴趣装床 escribed,用户的兴趣的神经网络能被兴趣的积极传播和错误的否定传播构造。这个神经网络能推断用户的兴趣。Thismodel 不是单利模型,而是模型和它的相关算法的圆改进的简单延期。
By analyzing the WWW Cache model, we bring forward a user-interest description method based on the fuzzy theory and user-interest inferential relations based on BP(baek propagation) neural network. By this method, the users' interest in the WWW cache can be described and the neural network of users' interest can be constructed by positive spread of interest and the negative spread of errors. This neural network can infer the users' interest. This model is not the simple extension of the simple interest model, but the round improvement of the model and its related algorithm.