首页|Gandhigram Rural Institute (Deemed to be University) Researcher Reports Research in Networks (New LMI constraint-based settlingtime estimation for finite-time stability of fractional-order neural networks)
Gandhigram Rural Institute (Deemed to be University) Researcher Reports Research in Networks (New LMI constraint-based settlingtime estimation for finite-time stability of fractional-order neural networks)
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By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on networks. According to news originating from Tamil Nadu, India, by NewsRxcorrespondents, research stated, “This study aims to analyze the finite-time stability performance of bothnon-delayed and delayed fractional-order neural networks.”Our news journalists obtained a quote from the research from Gandhigram Rural Institute (Deemed tobe University): “Our primary aim is to investigate the finite-time stability characteristics by introducing anovel inequality designed for estimating the settling time. This fresh inequality serves as the foundationfor establishing sufficient criteria, formulated as linear matrix inequalities, which guarantee the finite-timestability of both non-delayed and delayed fractional-order neural networks. Additionally, we underscorethe importance of incorporating comprehensive information regarding the lower and upper bounds of theactivation function, especially in the context of the proposed non-delayed model.”
Gandhigram Rural Institute (Deemed to be University)Tamil NaduIndiaAsiaNetworksNeural Networks
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