首页|Findings from Heilongjiang University in the Area of Networks Reported (Global Robust Exponential Synchronization of Interval Bam Neural Networks With Multiple Time-varying Delays)
Findings from Heilongjiang University in the Area of Networks Reported (Global Robust Exponential Synchronization of Interval Bam Neural Networks With Multiple Time-varying Delays)
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By a News Reporter-Staff News Editor at Network Daily News - Investigatorsdiscuss new findings in Networks. According to news reporting from Harbin, People’s Republic of China,by NewsRx journalists, research stated, “In this paper, we studied the problem of global robust exponentialsynchronization of interval bidirectional associative memory (BAM) neural networks with multiple timevaryingdelays. A direct method based on system solutions is proposed to give sufficient conditions for theglobal robust exponential synchronization of interval BAM neural networks under consideration.”Funders for this research include Natural Science Foundation of Heilongjiang Province, Natural ScienceFoundation of Heilongjiang Province, China Postdoctoral Science Foundation, Heilongjiang ProvincialPostdoctoral Science Foundation, Fundamental Research Funds in Heilongjiang Provincial Universities ofChina.
HarbinPeople’s Republic of ChinaAsiaNetworksNeural NetworksHeilongjiang University
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