1) generalized fractional element network
广义分数阶单元网络
1.
Response of generalized fractional element networks models under sinusoidal loads;
广义分数阶单元网络模型在正弦加载下的响应
2) generalized distributed network
广义分布式网络
3) high-order generalized neural networks
高阶广义神经网络
1.
Based on the estimated interaction of two adjacent intersections, this paper proposes a traffic coordination algorithm for two adjacent traffic intersections using fuzzy rules and high-order generalized neural networks.
该文根据路口之间的相互关系 ,利用高阶广义神经网络及模糊推理提出了两个相邻交通路口的协调算法 。
4) generalized network
广义网络
1.
Because expert did not refer to how to determine whether there is flow-generating cycle in generalized network,this thesis presents the algorithm for determining whether there is a flow-generating cycle independently based on searching minimum mean cycle,and prove the accuracy and complexity of the algorithm.
前人对广义网络流问题的研究都会讨论有流广义圈的网络和没有流广义圈的网络2种情况,但对于如何判断网络中是否有流广义圈都没做提及,针对这一问题,根据寻找图中平均权和最小圈的算法给出了判断流广义圈的算法,并对算法的正确性和时间复杂性给出证明。
5) generalized element
广义单元
1.
The second topic is: the definition of generalized element,namely,.
基于广义单元概念,发展了一种无网格-有限元耦合的新方法,即无网格-有限元直接耦合法。
6) fractional order neural network
分数阶神经网络
补充资料:分数阶积分与微分
分数阶积分与微分
og fractional integration and differentia-
分数阶积分的逆运算称为分数阶微分:若几介F,则f为F的:阶分数阶导数(na ctional deriVative).若0<戊
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