首页|Study Data from Changzhou University Update Understanding of Networks (Cascade Tri-neuron Hopfield Neural Network: Dynamical Analysis and Analog Circuit Implementation)
Study Data from Changzhou University Update Understanding of Networks (Cascade Tri-neuron Hopfield Neural Network: Dynamical Analysis and Analog Circuit Implementation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Network Daily News - Current studyresults on Networks have been published. According to news reporting from Changzhou, People’s Republicof China, by NewsRx journalists, research stated, “This paper studies a cascade tri-neuron Hopfield neuralnetwork (CTN-HNN) with no connection between the first neuron and the third neuron. Such incompletelyconnected neuronal structure may be part of complex neural networks with negligible inputs, and may bepresent in abnormal neural networks with some neurological diseases.”Financial supporters for this research include National Natural Science Foundation of China (NSFC),Qinglan Project of Jiangsu Province of China, Jiangsu Government Scholarship for Overseas Studies,Postgraduate Research & Practice Innovation Program of Jiangsu Province of China, Natural ScienceFoundation of Henan.
ChangzhouPeople’s Republic of ChinaAsiaNetworksNeural NetworksChangzhou University
NETL
NSTL
