1) Fuzzy Inference System (FIS)
自适应神经网络推理
2) ANFIS
自适应神经网络模糊推理系统
1.
Adequate datas used to train fuzzy rules and membership function in the BP neural network are obtained by means of LQR algorithm,then ANFIS controller is designed,in the end,a building is taken as the example to simulink under El Centro earthquake,the results shows that ANFIS is efficient in the structural active control.
运用线性二次型经典最优控制算法获得学习样本,由神经网络反向传播算法训练产生模糊规则和隶属度函数,设计自适应神经网络模糊控制器,通过某结构地震波作用下振动控制的数字仿真,表明自适应神经网络模糊推理系统可以有效地应用到结构控制中。
2.
Adaptive Neuro-Fuzzy Inference System(ANFIS) is a neural network system with one input and several outputs, which is got through achieving one step sugeno fuzzy system by the format of network.
自适应神经网络模糊推理系统(AdaptiveNeuro FuzzyInferenceSystem, ANFIS)是将Sugeno一阶模糊系统以网络的形式来实现而得到的一种多输入单输出的神经网络。
3.
A new superheated steam temperature control system design scheme is proposed,the main controller design is based on Adaptive Network-based Fuzzy Inference System(ANFIS).
提出一种新型的过热汽温控制方案,主控制器基于自适应神经网络模糊推理系统(ANFIS)进行设计。
3) adaptive neural network-based fuzzy inference system
自适应神经网络的模糊推理系统
1.
Based on captured objective input-output data couple, a new ANFIS (adaptive neural network-based fuzzy inference system) framework, which can construct fuzzy membership function and fuzzy rules in Takagi-Sugeno fuzzy model, is used to model and control the complex inverted.
该种方法采用BP算法与梯度下降法结合的混合算法对Takagi-Sugeno模糊模型中的前项及后件参数进行优化修正,在已获得的客观输入输出数据对的基础上,提出一种基于自适应神经网络的模糊推理系统ANFIS来对倒立摆系统进行建模和控制。
4) adaptive neural network-fuzzy inference
自适应神经网络模糊推理
1.
fuzzy inference reasoning based AKF (FIR-AKF), neural network based AKF (NN-AKF) and adaptive neural network-fuzzy inference system based AKF (ANFIS-AKF), are chosen specially and studied.
对模糊控制自适应算法(FIR AKF)、神经网络自适应算法(NN AKF)和自适应神经网络模糊推理自适应算法(ANFIS AKF)进行了分析。
5) adaptive neural networks-fuzzy inference system
自适应神经网络-模糊推理系统
1.
A data fusion algorithm based on adaptive neural networks-fuzzy inference system(ANFIS) and D-S evidence theory is proposed.
提出了一种基于自适应神经网络-模糊推理系统(ANFIS)和D-S证据理论相结合的信息融合方法。
6) self-adapting neural network
自适应神经网络
1.
The present article intends to introduce a new approach to solving the problem in determining the remnant methane quantity in fallen coals by means of self-adapting neural network.
基于此 ,作者提出自适应神经网络的落煤残存瓦斯量预测模型 ,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。
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