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中文摘要：
根据演化要求,运用人工神经网络理论,从个体特征、连接结构以及学习规则三个方面确定了信息个体到群体演化的形成要素,然后通过输出函数确定出需要的信息个体;在节点吸引力的作用下,完成了信息个体复制过程;最后大量的信息个体在学习规则的作用下会逐渐储存,最终形成了信息群体。上述过程有助于推动网络信息生态链由无序、低效、不稳定的状态向有序、高效、稳定的状态演变,为网络信息生态链的模拟仿真和实证分析提供参考。
英文摘要：
According to the requirements of the evolution, using artificial neural network theory, from three aspects of indi-vidual characteristics, connection structure and learning rules, the formation factors of information from individual to groupevolution are determined, then the required information individual is determined by the output function. In the attractive-ness of node, completed the process of information individual replication. A large number of information individual in learn-ing rule will storage of and eventually formed the group information. The above process is helpful to promote the network in-formation ecological chain from disorder, low efficiency, unstable state to the orderly, efficient and stable state evolution,itcan provide reference for the simulation and empirical analysis of network information ecological chain.
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