FNN

An optimization design method was proposed for a Fuzzy-Neural Network ( FNN ) structure based on chaotic variables.

基于混沌变量,提出一种关于模糊 神经 网络结构的优化设计方法.

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.

FNN simulation indicates that the predicted results are more accurate than estimated with traditional method.

通过对试验数据的仿真计算,其强度预测精度高于常规的综合方法.

A diagnosis model of auto-production line based on FNN and data fusion technology was established.

在此基础上,建立了基于模糊神经网络与信息融合技术的自动生产线故障诊断模型.

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.

Based on Fuzzy Neural Network ( FNN ), an intelligent adaptive sliding mode guidance law is presented.

在自适应滑模导引律的基础上,提出了一种基于模糊神经网络 ( FNN ) 的自适应滑模导引律.

Drawing of compensation based on FNN and Genetic Algorithms ( GA ) heightens the system anti-jamming capability.

FNN与遗传算法 ( GA ) 相结合形成的调整机制的引入,增强了系统的抗干扰能力.