1) grey back propagation artificial neural networks(G-BP-ANNs)
灰色BP人工神经网络
1.
A composite prediction model of grey back propagation artificial neural networks(G-BP-ANNs) is established.
建立了灰色BP人工神经网络组合预测模型,该模型结合了进水总磷浓度、曝气强度、水力停留时间、pH值、水温等5个主要影响因素,可准确预测不同工况下富磷上清液铁接触除磷效果。
4) BP artificial neural network
BP人工神经网络
1.
Calculation of thixotropic stress of waxy crude oil by BP artificial neural network;
基于BP人工神经网络的含蜡原油触变应力计算
2.
Application of BP artificial neural network model in forecast of quantity of precipitation;
降水量的BP人工神经网络预测模型及其应用
3.
Dividing of Soil and Water Loss Grade with BP Artificial Neural Network;
应用BP人工神经网络技术划分水土流失等级
5) BP ANN
BP人工神经网络
1.
Whole Stand Growth Model for Natural Dahurian Larch Forests Based on BP ANN;
基于BP人工神经网络的兴安落叶松天然林全林分生长模型的研究
2.
ANALYSIS ON EPIKARST SPRING WITH BP ANN IN LUOTA,HUNAN PROVINCE;
湖南洛塔干河猪场表层岩溶泉BP人工神经网络分析
3.
ANALYSIS OF WUYANDONG SUBTERRANEAN STREAM SYSTEM BY BP ANN IN LUOTA,HUNAN;
湖南洛塔屋檐洞地下河系统BP人工神经网络分析
6) BP neural network
BP人工神经网络
1.
BP neural network based on MATLAB 6.
x的BP人工神经网络工具箱进行了简要的介绍,并将BP人工神经网络应用到土壤环境质量现状评价中,编制了基于MATLAB6。
2.
The 4- 7- 2 nonlinear model was found by BP neural network with four components used as input data and the index of coat performance as output data, and the experimental results were trained and forecasted.
以CrO3 ,H3 BO3 ,锌粉和还原剂 4种组分作为输入数据 ,以涂层性能指标作为输出数据 ,采用 4 - 7- 2层结构 ,建立BP人工神经网络建立非线性模型 ,分别训练和预测了试验结果 ,同时以关联度的大小顺序为依据 ,分别拟合了各组分对涂层性能指标的影响曲线。
3.
The diagnosis of complex pressure fault with a large variety of information was attained by using the ability for BP neural network to synthesize and classify a large variety of information.
利用BP人工神经网络的多信息综合能力和分类能力 ,实现了多信息复杂压力故障的诊断 ,并获得了用BP算法训练网络的一些实际体会及方法。
补充资料：灰色
①像木柴灰的颜色。②比喻颓废和失望：～的作品 ㄧ～的心情。③比喻态度暧昧。
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