首页> 外文期刊>Network Daily News >Investigators from HeNan Polytechnic University Release New Data on Neural Computation (The Combined Functional Approach To State Estimation of Delayed Static Neural Network)
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Investigators from HeNan Polytechnic University Release New Data on Neural Computation (The Combined Functional Approach To State Estimation of Delayed Static Neural Network)

机译:调查人员从河南理工大学神经计算(发布新的数据结合功能状态估计方法延迟的静态神经网络)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Computation - Neural Computation have been presented. According to news reporting originating in Henan, People’s Republic of China, by NewsRx journalists, research stated, “This dissertation investigates the H-infinity state estimation for static neural networks with time-varying delays. In order to fully utilize delay information, a innovative Lyapunov-Krasovskii (L-K) functional is developed, which includes delayproduct- type (DPT) terms both in the non-integral and single integral functionals, and the S-dependent integral term is introduced to combine with the single integral DPT functional for the first time.”
机译:由一个新闻记者在网络新闻编辑每日新闻-数据详细计算神经计算已经提出。新闻报道,起源于河南人民中华民国,NewsRx记者,本文调查研究表示。静态神经的h∞状态估计网络与时变延迟。充分利用延迟信息,创新Lyapunov-Krasovskii (L-K)功能开发,包括delayproduct——类型(DPT)非整和单一泛函积分,和S-dependent介绍了积分项结合单积分DPT功能第一时间。”

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