1) Simplified fuzzy ARTMAP
简化模糊ARTMAP
2) simplified fuzzy ARTMAP neural network
简化模糊ARTMAP神经网络
3) fuzzy ARTMAP
模糊ARTMAP
1.
This paper adopts fuzzy ARTMAP classifier to do the classification CBERS-2 imagery.
用模糊ARTMAP(fuzzy adaptive resonance theory map)神经网络算法对CBERS-2数据进行了分类实践。
2.
The structure and algorithm of fuzzy ARTMAP neural network are described in detail, and an automatically adjusted algorithm of vigilance parameters is presented.
要 :阐述了模糊ARTMAP网络结构及其采用的算法 ,提出一种引入遥感图像判读结果的警戒系数自动调整算法 ,能够解决人为选择警戒参数效率低、难以取得合适数值的问题 。
3.
One of the properties of fuzzy artmap,which can be both an asset and a liability,is its capacity to produce new neurons(templates) on demand to represent classification categories.
在模糊artmap网络中,Fa2层每增加一个的神经元就表示增加了一个聚类,这是该网络的优点同时也增加了网络的负荷。
4) simplified FPID control
简化模糊PID控制
5) simplified fuzzy reasoning
简化模糊推论
1.
The simplified fuzzy reasoning model with the advantage that the model can output real number directly are frequently applied to the field of the control system.
能够直接输出非模糊值的简化模糊推论已被广泛应用于控制系统 。
6) simple fuzzy control
简单模糊
1.
Adaptive fuzzy control,on the basis of simple fuzzy control,is constructed by fuzzily online-ajusting the gains,and is used in the VAV terminal unit.
通过增加在线模糊调整量化增益和比例增益,在简单模糊控制理论的基础上架构成自适应模糊控制理论,并把其运用于VAV空调末端装置的控制。
补充资料：繁体字和简化字对照表
繁体字和简化字对照表
[繁体字和简化字对照表]
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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