1) TRAINGDX training function
TRAINGDX训练函数
1.
The shear strength index of Xi\'an loess is predicted based on BP neural network with TRAINGDX training function in the gradient descent method.
运用带适应学习率和动量因子的梯度递减法——TRAINGDX训练函数的BP网络对黄土的抗剪强度指标进行了预测。
2) TRAINLM training function
TRAINLM训练函数
1.
The suction friction angle index φ~b of unsaturated soil is predicted and studied based on the method of BP nerural network with TRAINLM training function.
基于TRAINLM训练函数的BP神经网络对非饱和土吸力内摩擦角φ~b的预测研究。
3) train epochs
训练步数
1.
The water quality of 17 wells in the area polluted were classified in different degrees with different train epochs by using correlation functions in MATLAB and area polluted was determined.
应用自组织特征映射网络对阜新新邱露天煤矿排土场附近于家沟地下水污染区的水质分类问题进行了研究,通过调用MATLAB中相关函数,在不同的训练步数下,对研究区17个采样点进行了不同精度的分类,确定出了污染范围。
4) trainning parameter
训练参数
1.
The paper mainly discusses BP neural network structure and choice of sample trainning parameter, which is based on neural netwrok generator.
结合作者研制的BP神经网络生成器,对BP网络结构和训练参数选取进行了详细的讨论,在克服传统BP网络缺陷方面进行了有益的探索。
2.
The paper mainly discusses BP newral network structure and selection of samples trainning parameters based on neural network generator developed by the authors and is devoted to study of how to overcome the disadvantages of conventional BP neural network.
结合笔者开发的ＢＰ神经网络生成器，对ＢＰ网络结构和训练参数选取进行了详细的讨论，在克服传统的ＢＰ网络缺陷方面进行了有益的探索。
5) training data
训练数据
1.
In order to getting the effective training data of chemical engineering modeling,two algorithms that fuzzy C-means and fast global fuzzy C-means clustering were used.
分别采用模糊C-均值聚类方法和快速全局C-均值聚类两种算法实现化工建模所需训练数据的有效提取。
6) parameter training
参数训练
1.
Also,the technologies of channel probing/ranging, parameter training and handshake procedure are introduced.
90调制解调器的基本原理,并深入分析了其握手过程(即在数据通信中建立连接的过程)的工作原理,介绍了线路测试、参数训练和握手规程等技术,重点论述了V。
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
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