1) adaptive neuro-fuzzy inference system (ANFIS)
自适应模糊神经推理系统
1.
To take full advantage of the common concrete strength testing methods-the drill method and the rebound mcthod, an adaptive neuro-fuzzy inference system (ANFIS) model is built up to evaluate concrete strength.
为了充分利用钻芯法和回弹法这2种常用混凝土测强方法的特点,建立自适应模糊神经推理系统模型来综合评定结构的混凝土强度。
2) ANFIS
自适应神经-模糊推理系统
1.
Based on the PSO algorithm characteristics of searching the parameter space concurrently and efficiently,the structure parameters of adaptive network-based fuzzy inference system(ANFIS) were tuned by the hybrid algorithm which combined particle swarm optimization with least-square method.
根据粒子群算法对整个参数空间进行高效并行搜索的特点,提出了最小二乘法和粒子群优化算法相结合的混合学习算法对自适应神经-模糊推理系统网络结构参数进行优化设计。
3) adaptive neuro-fuzzy inference system
自适应神经模糊推理系统
1.
Application of adaptive neuro-fuzzy inference system in anti-swing control to crane hook;
应用于起重机稳钩控制的自适应神经模糊推理系统
2.
Power load forecast based on principal component analysis and adaptive neuro-fuzzy inference system;
基于主成分分析法和自适应神经模糊推理系统的电力负荷预测
3.
Modeling of gyroscope based on adaptive neuro-fuzzy inference system
基于自适应神经模糊推理系统的陀螺建模方法
4) ANFIS
自适应神经模糊推理系统(ANFIS)
5) adaptive neuro-fuzzy inference system(ANFIS)
自适应神经模糊推理系统
1.
The model is used to perform the numerical simulation of slope stable state,to acquire the data for adaptive neuro-fuzzy inference system(ANFIS) analysis.
同时基于自适应神经模糊推理系统建立了岩体力学参数与边坡抗滑力和下滑力的映射模型,分析得到抗滑力和下滑力的统计特征。
2.
Due to the variation of motor parameters and load of the AC motor vector control system, an adaptive neuro-fuzzy inference system(ANFIS)is designed to use at the speed adjustment of the AC motor vector control system.
针对交流电动机矢量控制系统因电机参数变化和负载波动等因素而使性能变差的问题,设计了一种基于改进算法的自适应神经模糊推理系统(ANFIS)的交流电动机矢量控制系统速度调节器。
6) ANFIS
自适应神经模糊推理系统
1.
Identification and Simulation for Nonlinear System Based on ANFIS;
基于自适应神经模糊推理系统的非线性系统辨识与仿真
2.
Nonlinear system identification based on ANFIS;
基于自适应神经模糊推理系统的非线性系统辨识
3.
It is very hard to achieve an ideal calculating precision with traditional interpreting method of flowing unit, adaptive neural-fuzzy inference system (ANFIS) are used to establish a permeability model for high water cut oilfields, which is used for evaluating high water out reservoirs in Qiuling Oilfield with good effect.
笔者提出利用流动单元、自适应神经模糊推理系统 (ANFIS)和多元统计分析理论建立高含水油田渗透率模型。
补充资料：神经系统的进化昆虫的神经系统
李瑞端绘
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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