模糊推理网络(FIN)和模糊联想记忆网络(FAM)是两种最重要的FNN模型。
Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models.
本文利用模糊联想记忆神经网络作为控制器，对任意初始状态的结构自由振动进行主动控制。
The active control of structural free vibration using fuzzy associative memory networks controller is studied in this paper.
本文提出一种基于模糊联想记忆神经网络的土地质量评价方法，并以实例证实了该方法的简便、快速、客观和实用性。
Now a land quality evaluation method based on fuzzy association neural network is put forward and the method is proved simple, rapid and practical.
本文主要研究了模糊双向联想记忆网络的最大极限环长度。
The maximum length of limit cycles for fuzzy bidirectional associative memories ( FBAM ) is studied in this paper.
根据采集的样本训练出模糊神经网络的连接矩阵，然后对单个的联想记忆网络进行合成，实现故障的诊断。
The gathered samples are used to train the connected matrix of the fuzzy-neural network. And every single fuzzy-neural network is assembled to realize fault diagnosis.
根据采集的样本训练出模糊神经网络的连接矩阵，然后对单个的联想记忆网络进行合成，实现故障的诊断。
The gathered samples are used to train the connected matrix of the fuzzy-neural network. And every single fuzzy-neural network is assembled to realize fault diagnosis.
应用推荐