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- A kind of neural networks learning algorithms for multiple-pattern pairs weighted matrix of fuzzy associative memories(FAMs) and its strict theoretic proofs are presented in this paper. 该文提出多模式对连接权矩阵的一种神经网络学习算法,并给出了严格的理论证明。
- Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models. 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。
- Therefore, a new type of synthetic intelligent control system is developed by integrating expert system with fuzzy control based on fuzzy associative memory (FAM), and can be used in the process of continuous carbonization precipitation. 针对这些问题提出了一种实时智能控制方案,将专家系统与基于模糊联想记忆(FAM)的模糊控制进行综合决策,设计成一个集成环境的实时智能控制系统,并应用于碳酸化分解过程的进料流量控制中。
- A Learning Algorithm of Fuzzy Associative Memories Based on a Class of T-Norm Operations 一种基于T-模运算的模糊联想记忆学习算法
- A Novel Fuzzy Associative Memory Model 一类新的模糊关联存储器模型
- Fuzzy associative memory neural networks 模糊联想记忆神经网络
- fuzzy associative memory network 模糊联想记忆网络
- Fuzzy associative memories 模糊联想记忆
- Recognition of Heart Rate Variability Signal Using Fuzzy Associative Memory Pattern Classifier 基于模糊联想记忆模式分类器的心率变异性辨别
- A New Learning Algorithm of Fuzzy Associative Memory Networks with Max-Product Composition 最大-乘积型模糊联想记忆网络的一种新的学习算法
- Influences of perturbations of training pattern pairs on max-product fuzzy associative memory 训练模式的摄动对最大-乘积型模糊联想记忆网络的影响
- fuzzy association memories 模糊联想记忆
- fuzzy associative memory 模糊联想记忆
- Fuzzy Associative Memory (FAM) 模糊联想记忆
- Novelty Fuzzy Morphological Associative Memories 一种新颖的模糊形态联想记忆网络
- fuzzy morphological associative memories 模糊形态联想记忆
- A set of fuzzy association rules mined from the networ... 最后,文中利用遗传算法优化模糊成员函数来选择其参数。
- Therefore, as an associative memory the PLN network is an idealone. (2)每个稳定状态具有最大的吸引域;
- Building monitoring model for dam safety by use of fuzzy association memory neural network 基于模糊联想记忆神经网络的大坝安全监控系统建模研究
- Associative memory and source memory are similar in many aspects, but there also exist some differences between these two kinds of memories. 摘要关联记忆与来源记忆存在很多相似之处,但也存在一定的差异。