The model used the structure of mixed P2P network with super nodes, made P2P network to some different domains and computed the trust degree respectively for the nodes in and between domains.
模型采用带超级节点的混合P2P网络拓扑结构，将P2P网络划分为不同的域，对域内和域间节点分别进行信任度的计算。
This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.
本文基于鲁棒神经网和混合模糊推理新概念，提出了融合的并行拓扑结构。
The structure of ANFIS is proposed. Then a mixed learning arithmetic based on back promulgate and least-square arithmetic is presented to modify the network parameters.
给出了该自适应网络的结构，在此基础上给出了网络权值的修正算法，即综合最陡下降法和最小二乘法得到的一种混合学习算法。
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