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- Fuzzy kohonen neural network 模糊自组织神经网路
- Firstly, a concept of Mvar coordinate space is presented, then take the sensitivity between generators and nodes as eigenvectors, at last, KOHONEN neural network is introduced to decomposition. 以新英格兰系统为例进行的数字仿真发现,KOHONEN网络是一种学习速度快、分类精度高的神经网络模型,并且适用于电压控制分区。
- Probability Distribution of Kohonen Neural Network in the Post Training Phase Kohonen网络后训练阶段自组织的密度分布
- Kohonen neural network Kohonen神经网络
- The theory of Fuzzy ARTMAP(FAM) neural network was described. 介绍了fuzzy ARTMAP(FAM)神经网络的一般原理。
- Implementation of Fuzzy Systems using Multi-layered Neural Network. 使用多层的类神经网路来实作模糊系统.
- A new fuzzy neural network controller is designed in the winding machine. 在玻璃钢缠绕设备的控制系统中,设计了一种新型模糊神经网络控制器。
- The fuzzy neural network (FNN) and reinforcement learning (RL) are integrated. 将模糊神经网络与强化学习理论相结合,构成模糊强化系统。
- Fuzzy Kohonen Clustering Network(FKCN) 模糊柯禾仑聚类网络
- Kohonen neural networks Kohonen神经网络
- fuzzy kohonen clustering network 模糊kohonen聚类网络
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented. 摘要论述了模糊系统和神经网络相结合的非线性系统辨识理论。
- To overcome the shortcoming of single Kohonen network and BP network for data mining,a method for data classification based on combined neural network is put forward. The basic idea and algorithm description of this method are given. 为了克服单一Kohonen网络和BP网络用于数据挖掘的缺点;提出了一种基于Kohonen和BP组合神经网络的数据分类方法;并给出了该分类方法的基本思想和算法描述.
- This paper presented a road-tunnel-longitudinal-ventilation control model based on fuzzy neural network. 提出了一种基于模糊神经网络的公路隧道纵向通风控制模型。
- This paper describes a method of angle of sideslip calibration using a fuzzy neural network model. 叙述了一种利用模糊神经网络模型来校正侧滑角的方法。
- Application of fuzzy clustering analysis is investigated for the structure identification of fuzzy neural network. 研究了模糊聚类分析在多变量模糊神经网络的结构确定中的应用。
- This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space. 本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。
- Its principal constituents are fuzzy logic, neural network and evolutional computing. 它主要由模糊逻辑、神经网络、进化计算等组成。
- Neural Networks Horizon Picker Training. 神经网络层位拾取训练。