...
首页> 外文期刊>Optoelectronics, Instrumentation and Data Processing >FEATURES OF THE FUNCTIONING OF A CELLULAR NEURAL NETWORK WITH EXTERNAL INPUTS
【24h】

FEATURES OF THE FUNCTIONING OF A CELLULAR NEURAL NETWORK WITH EXTERNAL INPUTS

机译:具有外部输入的细胞神经网络的功能特点

获取原文
获取原文并翻译 | 示例
           

摘要

A cellular neural network (CNN) is known as a fine-grain parallel model capable to generate various types of autowaves. This property of CNN allows one to consider it as a new model of autowave processes in distributed active media and determines the necessity of further detailed investigation of the model. A CNN model modification that does not have the neuron bias parameter is described along with its properties. Techniques of using the external inputs for modifying the CNN properties and generating the autowave processes are determined.
机译:细胞神经网络(CNN)被称为能够生成各种类型的自动波的细粒度并行模型。 CNN的这一特性使人们可以将其视为分布式有源介质中自动波过程的一种新模型,并确定了对该模型进行进一步详细研究的必要性。描述了不具有神经元偏差参数的CNN模型修改及其属性。确定了使用外部输入修改CNN属性并生成自动波过程的技术。

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