2) fuzzy neural network
模糊神经元网络
1.
This paper presented a fuzzy neural network algorithm of multi-source information fusion,which based on the clustering idea of integrating potential field topology,hierarchical clustering a.
文章提出了多源信息融合的模糊神经元网络算法,且基于势场拓扑层次聚类融合FCM算法的聚类思想,将模糊集合理论引入神经元网络,构成基于多判据信息融合的模糊神经元网络模型,并对该网络进行了优化。
2.
Based on zero order takagi sugeno model,a simple yet effective approach to fuzzy neural network (FNN) modeling for complex systems with input output data is presented.
基于零阶 T- S模糊模型 ,本文指出了一种实用的输入输出数据进行复杂系统的模糊神经元网络建模的方法 。
3.
Second we adopted the intervals algorithm of the fuzzy sets,extend the traditional BP-algorithm and proposed a bell-shaped fuzzy number based learning algorithm of a multilayer feedforword fuzzy neural network.
描述一个多层前馈式模糊神经元网络的学习机制。
4) neuro-fuzzy systems
神经元模糊系统
1.
It is concluded by theoretical analysis that the RBFN holds fuzzy operation nature, and the RBFN is a kind of neuro-fuzzy systems in a sense.
对径向基网络的功能进行了研究，并对该网络的神经计算功能与模糊逻辑运算进行了对比分析，得出了以下结论：径向基网络具有模糊逻辑运算的性质，从某种意义讲，径向基网络是一种神经元模糊系统。
5) fuzzy logical neural cell
模糊逻辑神经元
6) Fuzzy Number Neuron
模糊数神经元
补充资料：神经元形态中枢神经系统内轴突髓鞘的形成示意图
李瑞端绘
[图]
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