1) partially adjoint operator
部分伴随算子
2) adjoint differential operator
伴随微分算子
3) adjoint partial differential operator
伴随偏微分算子
4) adjoint operator
伴随算子
1.
On the adjoint operators of regular FI-algebras;
正则FI-代数上的伴随算子
2.
The boundedness,adjoint operator and spectrum of multiplication operators are investigated,the condition for multiplication operators to be positive operators is also presented.
研究了Hilbert空间L2(μ)上的乘法算子,对其有界性,伴随算子以及乘法算子的谱进行了刻画,并给出了乘法算子成为正算子的条件。
3.
The regularity and the adjoint operators of family of fuzzy implication operator L-γ-G were discussed.
讨论了L-λ-G族模糊蕴涵算子的伴随算子及其正则性,指出了在模糊蕴涵算子族L-λ-G中,只有R_(Lu)算子与R_G算子有伴随算子且具有正则性,从而说明了这两种算子是较理想的蕴涵算子。
5) adjoint integrated semigroup
伴随积分算子半群
1.
The properties of adjoint integrated semigroups are studied.
研究了伴随积分算子半群的性质,给出了经典的Phillips定理的一个简单证明,并明确了伴随算子半群成c0算子半群的最大子空间。
6) concomitant implication operator
伴随蕴涵算子
1.
Taking advantage of the concomitant implication operator of TG,which is a t-norm,a simple efficient learning algorithm is proposed for the fuzzy Hopfield Networks based on fuzzy composition of Max and TG(Max-TG FHNN).
利用t-模的伴随蕴涵算子,为基于Max和TG合成的Hopfield网络Max-TGFHNN提供了一种新的学习算法,此处TG是Godelt-模算子。
2.
Taking advantage of the concomitant implication operator of T_ L , which is a t-norm, a simple efficient learning algorithm was proposed for the fuzzy bi-directional associative memory based on fuzzy composition of Max and T_ L (Max-T_ L FBAM).
利用t-模的伴随蕴涵算子,为基于Max和TL合成的模糊双向联想记忆网络Max-TLFBAM提供了一种新的学习算法,此处TL是Lukasiewiczt-模算子。
3.
Taking advantage of the concomitant implication operator of Tes,which is a t-norm and was presented by Einstein,a simple efficient learning algorithm is proposed for the fuzzy associative memory based on fuzzy composition of Max and Tes(Max-Tes FAM).
文章利用t-模的伴随蕴涵算子,为基于Max和Tes合成的模糊联想记忆网络Max-TesFAM提供了一种新的学习算法,此处Tes是由爱因斯坦提出的一种t-模算子。
补充资料：伴随
随同；跟：～左右，不离寸步ㄧ～着生产的大发展，必将出现一个文化高潮。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条