1) the developed additive-multiplicative fuzzy neural networks
改进的加乘型模糊神经网络
2) Additive-Multiplicative Fuzzy Neural Networks
加乘型模糊神经网络
1.
Theory and Application of Additive-Multiplicative Fuzzy Neural Networks;
加乘型模糊神经网络理论和应用的研究
3) improved fuzzy neural network
改进的模糊神经网络
1.
According to the interferential factors above,a new short-term load forecasting approach based on improved fuzzy neural network is presented by introducing "intervening item".
针对这些干扰因素,引入了"干预项",进而提出了一种改进的模糊神经网络预测的新方法;阐述了应用该方法进行短期负荷预测的基本原理、网络模型和预测过程。
2.
In this article,the improved fuzzy neural network with time-varying model in fitting and forecasting of the horizontal displacement monitoring of one dam is used,and the BP model is the comparative example.
针对时变监控模型比常规监控模型更有效且能准确进行变量分离,通过改进的模糊神经网络(IFNN)结合时变模型对陈村水库大坝的水平位移进行拟合与预测,并与BP模型做了比较。
4) improved BP-NN model
改进的BP神经网络模型
1.
This paper puts forward the improved BP-NN model and sums up the most affecting settlement factor of highway soft foundation.
通过对模型的建立、训练和验证,以及与其他方法的对比表明,改进的BP神经网络模型在非线性建模方面具有泛化性强、计算精度高、操作简便的独特优势,具有广阔的工程应用前景。
5) AMFNN
加乘模糊神经网络
1.
In this paper, an effective method of data prediction based on wavelet MRA (Multiple Resolution Analysis) and AMFNN (Additive-Multiplicative Fuzzy Neural Network) is proposed to precisely research the changing traffic-flow in urban roads.
为了研究城市道路动态变化的交通流量,本文提出了在多分辨率分析(MRA)的基础上利用加乘模糊神经网络(AMFNN)进行预测的方法,并给出了交通流量的预测模型,同时,用实测的流量数据测试了模型的性能。
6) improved BP neural networks model
改进BP神经网络模型
1.
Comprehensive evaluation on water quality for cascade hydropower stations in Supa River basin based on improved BP neural networks model;
基于改进BP神经网络模型的苏帕河流域梯级电站水质综合评价
补充资料：改进
改变旧有情况，使有所进步：～工作ㄧ操作方法有待～。
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