OpenAlex | New result on reliable <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si11.svg"><mml:msub><mml:mi mathvariant="bold-script">H</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> performance state estimation for memory static neural networks with stochastic sampled-data communication

New result on reliable H∞ performance state estimation for memory static neural networks with stochastic sampled-data communication

Work

Year: 2019

Type: article

Source: Applied Mathematics and Computation

Authors Shiyu Dong, Hong Zhu, Shouming Zhong, Kaibo Shi, Jun Cheng +1 more

Institutions University of Electronic Science and Technology of China, Chengdu University, Qingdao University of Science and Technology, Guangxi Normal University, Fuyang Normal University

Cites: 46

Cited by: 13

Related to: 10

FWCI: 1.802

Citation percentile (by year/subfield): 67.31

Topic: Neural Networks Stability and Synchronization

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China +3 more

Grant IDS 61873305, 61703060, 61701048, 61802036, 11601474 +3 more