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本文提出了一种新的基于神网络的模糊逻辑技术实现呼叫接纳控制(CAC)的方法,与传统的神经网络方法相比,该方法利用了两种技术的优点,能合理地选择初始参数,同时具有自学习能力.模拟结果表明,我们提出的方法能够利用较少的训练数据获得较高的精确性,减少了训练时间,体现了传统的分析方法和神经网络方法不具备的优越性.
In this paper, a new method of implementing Call Admission Control (CAC) based on the fuzzy logic of the neural network is proposed. Compared with the traditional neural network method, this method takes advantage of the advantages of the two techniques and can reasonably choose the initial parameters, At the same time, it has the ability of self-learning.The simulation results show that the proposed method can use less training data to obtain higher accuracy and reduce the training time, which reflects the superiority that traditional analysis methods and neural network methods do not have.