用网络探索算法(community discovery algorithm)对33个健康受试者的脑功能网络进行探索与构建以获取脑功能网络的结构模板,并以此做为FES组的脑功能网络模板。
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其目的在于探索和应用遗传算法为OSPF网络路由的选择开辟一条新的途径。
The purpose is to applying genetic algorithms for the routing search of OSPF network and to open up a new path for the routing of OSPF network.
对神经网络的结构和学习算法进行了探索性研究，引入一种基于自适应增益系数改进的学习算法。
After exploratory researches for the structure and learning algorithm of neural network, an algorithm based on adaptive gain coefficient is presented.
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