...
首页> 外文期刊>International journal of computer mathematics >Line attractors of coupled ring neural networks with block circulant weight matrix
【24h】

Line attractors of coupled ring neural networks with block circulant weight matrix

机译:块循环重量矩阵耦合环形神经网络的线路吸引子

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The continuous attractors of neural networks with symmetric connection weights have been studied widely. However, most of the matrices are asymmetric. In this paper, the model is coupled by some subnetworks. The connection weight matrix of each subnetwork is a circulant matrix, so the whole connection matrix is a block circulant matrix which is asymmetric. The conditions that guarantee this model with block circulant connection weight matrix to possess continuous attractor is obtained. Furthermore, the continuous attractor is a one-dimensional line attractor.
机译:广泛研究了具有对称连接重量的神经网络的连续吸引子。然而,大多数矩阵是不对称的。在本文中,该模型由某些子网耦合。每个子网的连接权重矩阵是循环矩阵,因此整个连接矩阵是不对称的块循环矩阵。获得了保证具有块循环连接权重矩阵具有连续吸引子的该模型的条件。此外,连续吸引子是一维线吸引子。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号