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将传统模式识别神经网络与人类认知的方式相结合,提出了结构开放式模式识别神经网络的概念,并设计了结构开放式模式识别神经网络的体系结构.与传统模式识别神经网络相比,这种神经网络不但提高了神经网络的学习记忆功能,而且在利用计算机实现智能化时大大减少了数据结构的数据量.为了能够更容易的理解这种网络,并针对一类特殊情况的应用进行研究,设计了一个结构开放式模式识别神经网络的结构和操作流程,并通仿真试验,证明了这种网络的有效性和实用性.
By combining traditional pattern recognition neural network and human cognition method, the concept of open pattern recognition neural network is proposed and the architecture of open pattern recognition neural network is designed.Compared with traditional pattern recognition neural network, This kind of neural network not only enhances the learning and memory function of neural network, but also greatly reduces the amount of data in the data structure when using computer to realize intelligence.In order to make it easier to understand the network and apply it to a special kind of situation The structure and operation flow of an open pattern recognition neural network with structure are researched and designed. The simulation experiment is carried out to prove the validity and practicability of this network.