英语单词RNN是什么意思?RNN怎么读?RNN怎么发音?英语网为您整理了RNN的解释、用法、例句、词组等相关学习资料。下面跟小编一起来看看吧!

RNN的意思
1、abbr.recurrent neural network 递归神经网络;Royal Netherlands Navy 荷兰皇家海军;Royal Norwegian Navy 挪威海军;Royal Nigerian Navy 尼日利亚皇家海军;
RNN的双语例句
1、The network was compared with recurrent neural network ( RNN) by predicting exhaust gas temperature ( EGT).
分别利用递归神经网络和双隐层过程神经网络对发动机排气温度裕度进行仿真预测。
2、It appears special construction, excellent short-term memory, facile learning approach, stunning non-linearity that former RNN never done.
其独特的结构,良好的短期记忆能力,方便的学习方法,不俗的非线性特性是以前循环神经网络所不可比的。
3、The recurrent neural network ( RNN) model based on projective operator is studied.
研究了一种基于投影算子的神经网络模型。
4、In this paper a detailed principle and application of a 1/ n rate convolution decoder based on Recurrent Neural Network ( RNN) are introduced.
详细介绍了一种基于递归神经网络(RNN)的1/n卷积码解码器的原理与实现。
5、It has the characteristics of traditional RNN and the capability of function approximation, and may offer a kind of visual means for studying algebra symbol calculation and approximate algebra symbol calculation.
该模型不但具有回归神经网络的特点,而且具有Hensel构造提升的思想,给人们研究代数符号计算与近似代数符号计算提供一种可视化手段。
6、The Identification and the Model of the Hydraulic& Pneumatic Actuator Based on RNN Recurrent Neural Networks linear-acting hydraulic power motor
基于RNN的神经网络辨识液气联合工作液压作动器模型线性作用液压电动机
7、In light of the combination of research production on RNN and the scientific research project of the eighth oil recovery factory in Daqing oil fields, the sedimentary facies recognition system is developed based on RNN, which realizes auto recognition of sedimentary facies.
根据对粗神经网络的研究成果,并结合大庆油田采油八厂科研项目,研制开发出《基于粗神经网络的沉积微相识别系统》,实现了沉积微相的自动识别。
8、A Non-linear Prediction speech Coding Based on RNN
基于RNN的非线性预测语音编码
9、By introducing the hidden representation or hidden variables into RNN, training the complicated RNN is decomposed into training a set of single neurons and a linear output layer.
利用隐含观测量,将复杂RNN的训练分解为线性输出层和多个单隐元的参数估计。
10、Differentiable manifolds methods in RNN.
递归神经网络微分流形方法。
11、The simulation results demonstrate high modeling capabilities of RNN with simplest training data format for both of the cases.
仿真结果表明回归神经网络对时序关联数据有很好的建模和预测能力,相比于前向网络,无需过程时序特点的先验知识,可以采用最简单的建模数据形式。
12、Combined with RNN ( reciprocal nearest neighbor) algorithm, on relationship network Block-modeling, constructed the relationship of database information basic flow analysis. 3.
结合最近邻聚类算法,对关系网络进行块模型分析,构建出了对数据库信息关系分析的基本流程。
13、Data format for modeling, capabilities of various RNN structures and evolutionary operations for RNN training are also investigated.
针对两个标准问题,采用不同形式的建模数据,比较了前向网络和回归神经网络的建模及预测效果,进一步将进化算法用于不同结构回归神经网络的训练并比较了它们的建模能力。
14、In this study, we researched a well-known neural network modeling& MP modeling and suggest a new multidimensional MP modeling. As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.
对著名的神经元数学模型MP模型进行了研究,提出了一种多维MP模型.作为仿生神经元数学模型,随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。
15、A small discrepancy is due to the fact that the RNN only approximates the first-principles CSTR model.
一个小的差异是由于这样的事实,RNN CSTR采用的仅仅是近似模型。
16、The results of simulation indicated that RNN outperformed BP network and general median filter in image fusion for filtering.
仿真试验表明,粗集神经网络在图像融合滤波方面的性能优于BP网络和一般的中值滤波器。
17、The query efficiency of RNN and NN has a high improvement, and there is a good performance especially in high-dimensional space query.
与其他算法的查询效率相比有了一定的提高,特别是在高维空间查询时,体现了良好的性能。
18、This index structure has some advantages, greatly reducing the storage space for the quantitative and compression raw data, and the index is more suitable for the RNN than before.
这种索引结构的优点是对原始数据的量化压缩能够大大减少存储空间,引入的SR树的索引结构也更加适合反向最近邻查询的要求。
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