1) interval network
区间网络
1.
In order to obtain the total duration\'s membership function and the path criticality of a fuzzy network,based on the fuzzy extension principle and the concept of fuzzy cut,this paper converted the fuzzy network to a series of interval networks under different α levels through computing the fuzzy cut of all the activities.
为了求取模糊网络总工期隶属函数和路径关键度,以模糊扩展定理和模糊截集概念为基础,通过求取所有活动的模糊截集,将模糊网络转变为一系列不同α截集下的区间网络。
2) regional computer network
区间性网络
3) Interval neural networks
区间神经网络
1.
The global robust exponential stability is investigated for interval neural networks with mixed delay.
讨论了混合时滞区间神经网络的全局鲁棒指数稳定性。
4) interval Bayesian networks
区间贝叶斯网络
5) stochastic interval delayed Hopfield Neural N etwork
随机区间Hopfield神经网络
6) interval cellular neural networks
区间细胞神经网络
1.
Global asymptotic robust stability of interval cellular neural networks with S-type distributed delays;
S-分布时滞区间细胞神经网络的全局渐近鲁棒稳定性
补充资料:区间
表示实变量x的取值范围。设a、b是两个实数,且a<b,满足a<x<b的实数x的集合记为(a,b)或]a,b[,称为开区间;满足a≤x≤b的实数x的集合记为[a,b],称为闭区间。满足a≤x<b或a<x≤b的实数x的集合,分别记为[a,b)、[a,b[或(a,b]、]a,b],称为半开半闭区间。
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