1) Fuzzy Adaptive Resonance Theory
模糊自适应共振理论
1.
This paper implemented an improved K-Nearest Neighbor (Fuzzy KNN) algorithm in which Fuzzy Adaptive Resonance Theory (ART) is applied in K-NN classification to make a new algorithm.
提出了一种K-最近邻改进算法,该算法用模糊自适应共振理论(Fuzzy ART)对K-最近邻的训练样本集进行浓缩,以改善K-最近邻的计算速度。
2) fuzzy adaptive resonance theory neural network
模糊自适应共振理论神经网络
3) fuzzy adaptive resonance theory (fuzzy ARTMAP)
模糊自适应共振理论映射
4) fuzzy adaptive resonance theory model
模糊自适应谐振理论
5) adaptive resonance theory
自适应共振理论
1.
A new synthetical method of optimizing bit type is developed by adaptive resonance theory neural network, which regards some quantitative and qualitative factors as neural units of inputting layer of the network.
利用人工神经网络法中的自适应共振理论优选钻头 ,将定性、定量优选因素作为输入层神经元 ,形成一种综合性选型方法 。
2.
An ART2 neural network based on adaptive resonance theory is put forward in this work to identify the damage of the structures and to realize the on-line self-study of the network.
目的基于自适应共振理论,提出一种基于ART2神经网络的结构损伤识别方法,以实现结构损伤识别的自主学习。
3.
The new network model is formed by incorporating the two concepts of fuzzy set theory, closeness and closest principles, with adaptive resonance theory (ART).
将模糊数学中的贴近度 (Closeness)和择近原则 (ClosestPrinciple)概念与自适应共振理论 (ART)相结合 ,形成了一种新的网络模型。
6) ART
[英][ɑ:t] [美][ɑrt]
自适应共振理论
1.
This paper expatiates the ART (Adaptive Resonance Theory) and the conception,the characteristics,the structure and the algorithm of ART1 Neural Network(ART1 NN)model.
此文系统地阐述了自适应共振理论及 ART1神经网络模型的基本概念、特点、结构和算法。
2.
Adaptive resonance theory (ART) is developed on the basis of self-association cognitive coding theory.
自适应共振理论 (ART)是一种自组织产生认知编码的神经网络理论 ,其自组织、反馈式增量学习机能 ,能兼顾适应性和稳定性 ,克服了一般神经网络学习速度慢、网络结构难以确定、局部最小陷阱等缺陷。
补充资料：电子自旋共振(见电子回旋共振)
电子自旋共振(见电子回旋共振)
electron spin resonance
电子自旋共振eleetron spin resonanee见电子回旋共振。
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