1) 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。
2) 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
3) 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。
4) adaptive neural fuzzy inference system
自适应神经模糊推理系统
1.
Starting from the practical application of SOFC and by use of improved adaptive neural fuzzy inference system(ANFIS) ,the authors establish electric characteristic model for SOFC stack under the conditions of stable loads and variable loads.
文章从SOFC实际应用的角度出发,应用改进的自适应神经模糊推理系统(adaptive neural fuzzy inference system,ANFIS)对SOFC建立了负载稳定和负载变化2种情况下的电特性模型。
2.
This paper does some study on a new method based on the principle of adaptive neural fuzzy inference system.
本文基于最近发展起来的自适应神经模糊推理系统的原理,研究了一种新的边坡稳定分析方法,对边坡工程的理论研究和工程实践具有一定的现实意义。
6) 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。
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