1) Dynamic Fuzzy Neural Networks
动态模糊神经神经网络
2) dynamic fuzzy-neural network
动态糊神经网络
3) DFNN
动态模糊神经网络
1.
An improvement for dynamic fuzzy neural network (DFNN) was presented to avoid its running into the local extreme.
针对动态模糊神经网络(DFNN)在进行预测应用时容易陷入"局部极值"的缺陷,提出一种改进方案。
2.
A DFNN(Dynamic Fuzzy Neural Network) is constructed by introducing recursion segment into the fuzzy neural network,which is trained using genetic a.
在模糊神经网络内部引入递归环节,构成了动态模糊神经网络DFNN(DynamicFuzzyNeuralNetwork),并采用具有全局寻优能力的遗传算法训练网络,克服了单纯BP算法易陷入局部最优解的缺点。
4) dynamic fuzzy neural network
动态模糊神经网络
1.
Intrusion detection system based on dynamic fuzzy neural network;
基于动态模糊神经网络的入侵检测系统
2.
To overcome the limitation of static fuzzy neural network model for dam deformation prediction,the dynamic fuzzy neural network approach is proposed.
实例表明动态模糊神经网络方法是可行的,可实现持久预报,具有较强的适应能力和较高的预报精度,可应用于在线实时变形预报及相关领域。
3.
With regard to the characteristics of flight data,a new identification method of flight data model based on dynamic fuzzy neural network is presented.
针对飞行数据的特点,提出了一种基于动态模糊神经网络(DFNN)的飞行数据模型辨识方法。
5) dynamic fuzzy neural network(DFNN)
动态模糊神经网络
1.
A new dynamic fuzzy neural network(DFNN) was proposed based on neural network and fuzzy engineering according to the mathematical expression of cost estimation.
针对在产品方案设计阶段成本估算信息少且颗粒度大的问题,结合神经网络和模糊工程技术提出了动态模糊神经网络(DFNN),采用模糊推理的信息处理方法,在学习过程中隐层层数及维数根据规则不断变化,神经网络结构呈现动态。
6) dynamic recurrent fuzzy neural network
动态递归模糊神经网络
1.
A novel dynamic recurrent fuzzy neural network is presented in this paper, and its dynamic back propagation algorithm is formulated according its mathematic models.
提出了一种新型的动态递归模糊神经网络,并根据动态递归神经网络的数学模型推导出其动态反向传播学习算法,仿真结果表明对于动态系统的辨识,动态递归模糊神经网络较传统模糊神经网络在辨识精度和稳定性方面具有更好的效果。
补充资料：动态
①（事情）变化发展的情况：科技～ㄧ从这些图片里可以看出我国建设的～。②艺术形象表现出的活动神态：画中人物，～各异，栩栩如生。③运动变化状态的或从运动变化状态考察的：～工作点ㄧ～电流ㄧ～分析。
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