1) adaptive dynamic recurrent fuzzy neural networks(ADRFNN)
自适应动态递归模糊神经网络
1.
To compensate effectively such elements as the nonlinearity,uncertainty and unmodeled dynamics in electro-hydraulic servo system,a mathematic model of the system was turned into an equivalent linear model including an item of identification error which called 2nd uncertainty of adaptive dynamic recurrent fuzzy neural networks(ADRFNN).
为实现对电液伺服系统非线性、不确定性和未建模动态等因素的有效补偿,将系统转换成具有自适应动态递归模糊神经网络(ADRFNN)辨识误差,即二次不确定性的等效线性数学模型,利用增益自适应滑模变结构控制(GASMC)方法对系统进行综合设计。
2) dynamic recurrent fuzzy neural network
动态递归模糊神经网络
1.
A novel dynamic recurrent fuzzy neural network is presented in this paper, and its dynamic back propagation algorithm is formulated according its mathematic models.
提出了一种新型的动态递归模糊神经网络,并根据动态递归神经网络的数学模型推导出其动态反向传播学习算法,仿真结果表明对于动态系统的辨识,动态递归模糊神经网络较传统模糊神经网络在辨识精度和稳定性方面具有更好的效果。
3) Anfis-Elman network
自适应模糊递归网络
1.
The result from simulated experiment of chaos time series of the Mackey2Glass indicates that the Anfis-Elman network has strengthened the part general melt ability,and its prediction precision is higher than that of the BP network and the Elman network obviously.
针对混沌时间序列的解析方程的不确定性,提出了自适应模糊递归网络组合预测网络。
5) dynamic t-s recurrent fuzzy neural networks(DTRFNN)
动态T-S递归模糊神经网络(DTRFNN)
6) adaptive fuzzy neural network
自适应模糊神经网络
1.
Studies on prediction of standard entropy of cations by using adaptive fuzzy neural network;
自适应模糊神经网络预测阳离子标准熵的研究
2.
Studies on prediction of the stabilities of metal-HEDTA complex by using adaptive fuzzy neural network;
自适应模糊神经网络预测金属-HEDTA配合物稳定常数的研究
补充资料：自终南山晚归
【诗文】：
采苓日往还，得性非樵隐。白水到初阔，青山辞尚近。
绝境胜无倪，归途兴不尽。沮溺时返顾，牛羊自相引。
逍遥不外求，尘虑从兹泯。
【注释】：
【出处】：
全唐诗：卷236_40
采苓日往还，得性非樵隐。白水到初阔，青山辞尚近。
绝境胜无倪，归途兴不尽。沮溺时返顾，牛羊自相引。
逍遥不外求，尘虑从兹泯。
【注释】：
【出处】：
全唐诗：卷236_40
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