connection weight连接权值
3)variable connection weights变连接权
1.Using the theory of fixed point and differential inequality technique,the existence and global attractivity of almost periodic solutions for cellular neural networks with variable connection weights and variable delay dx_i(t)[]dt=-c_ix_i(t)+∑n[]j=1a_ij(t)f_j(x_j(t))+∑n[]j=1b_ij(t)f_j(x_j(t-τ(t)))+I_i(t) have been Studied.利用不动点理论和微分不等式分析等方法,研究了具有变连接权的时滞细胞神经网络dxi(t)dt=-cixi(t)+∑n的存在性和全局吸引性,推广和改进了相关文献的结果,扩大了神经网络的设计范围。
4)connected weight matrix连接权阵
1.In fact,SDM is a three-tayer forward neural network which consists of an input layer,an immediate layer and an output layer,The connected weight matrix between the input layer and the immediate layer is represented by A which is preset,whereas the connected weight matrix C between the immediate layer and the output one is obtained by the .ＳＤＭ实际上是一个由输入层、中间层和输出层组成的三层前向网络，其中神经元间的互连权值在输入层与中间层是预置的（用矩阵Ａ表示），中间层与输出层的连接权阵Ｃ由外积法得到。
5)authority of database connection连接权限
1.The middleware implement users\' maintenance and management of database connection more effectively by the way of the improved multi-user access to the database connection performance and introduced concept of authority of database connection and the method of deprived database connections.在改善了多用户对数据库连接访问性能的同时,引入数据库连接权限的概念,采用剥夺式连接方式,更加有效的实现了在中间层对用户连接进行维护和管理。
6)high order linking weight高阶连接权
延伸阅读
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