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Cellular neural networks with effect from friend having most different values and its friends

机译:蜂窝神经网络受到具有最大不同值的朋友及其朋友的影响

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Generally, in the conventional CNN, each cell is connected to only its neighboring cells according to a template. In this case, the information that a cell can obtain from its neighboring cells is limited. In actual association, we possible to gain different perspectives and grow up by involving different types of friends. Therefore, in this study, we focus on the concept of human relationship in the real world. Then, we propose cellular neural networks with effect from friend having most different values and its friends. The proposed method is the new approach in consideration of the phenomena in such actual society.
机译:通常,在常规的CNN中,每个小区根据模板仅连接到其相邻小区。在这种情况下,一个小区可以从其相邻小区获得的信息是有限的。在实际的交往中,我们可能通过吸收不同类型的朋友来获得不同的观点并成长。因此,在这项研究中,我们关注于现实世界中人际关系的概念。然后,我们提出了具有最大不同价值的朋友及其朋友的影响的细胞神经网络。所提出的方法是考虑到这种现实社会中的现象的新方法。

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