1) 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。
2) 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。
3) multimode auto-adapted recursion
多模自适应递归
4) 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
5) ANFIS
自适应模糊神经网络
1.
This system predicts the thickness error according to errors between predicted rolling forces and measured ones by applying adaptive networks based fuzzy inference system (ANFIS),and then adjusts the gaps of downstream stands dynamically.
应用自适应模糊神经网络控制技术 ,建立了热带精轧机组动态设定系统 ,该系统根据前两个机架实测的轧制力和设定计算的轧制力间误差预测带钢可能出现的厚度偏差 ,根据模糊神经网络的预测结果修正后续机架的辊缝值 ,提高带钢头部厚度精度 。
2.
This article utilizes the character of Gray Theory to predict the economy parameter,and then in order to obtain a better predicting effect,the ANFIS is employed to predict its simulating error.
利用灰色理论本身的特征对经济参数进行预测,并运用自适应模糊神经网络对其拟合误差进行预测,从而达到较好的预测效果。
3.
This article holds the purpose that,by using ANFIS,the eccentricity framework structure under the multi-dimensional earthquake excitation will be controlled,and the controlling force will be mount out through that made ANFIS being the controlling device and inputs the velocity and acceleration.
目的应用自适应模糊神经网络对多维地震动下结构的振动进行主动控制。
6) adaptive neuro-fuzzy inference system
自适应模糊神经网络
1.
A short-term electricity price forecasting method based on Takagi-Sugeno model and adaptive neuro-fuzzy inference system (ANFIS) is proposed.
提出了基于Takagi-Sugeno模型的自适应模糊神经网络的短期电价预测方法。
2.
The paper discusses a method of subtractive clustering adaptive neuro-fuzzy inference system for short-term load forecasting.
论述了基于减法聚类的自适应模糊神经网络(ANFIS:adaptiveneuro-fuzzyinferencesystem)的短期负荷预测方法。
补充资料：自适
【诗文】：
紫陌奔驰不暂停，送迎终日在郊坰。年来鬓畔未垂白，
雨后江头且蹋青。浮蚁满杯难暂舍，贯珠一曲莫辞听。
春风只有九十日，可合花前半日醒。
【注释】：
【出处】：
全唐诗：卷676-39
紫陌奔驰不暂停，送迎终日在郊坰。年来鬓畔未垂白，
雨后江头且蹋青。浮蚁满杯难暂舍，贯珠一曲莫辞听。
春风只有九十日，可合花前半日醒。
【注释】：
【出处】：
全唐诗：卷676-39
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