s nn: This tells the IVM that we are going to use a particular slot number.
snn：这告诉IVM我们要使用一个特定的插槽号。
Add the following property to $HADOOP_HOME/conf/core-site.xml to set the NN IP/ port
把以下属性添加到 $HADOOP_HOME/conf/core-site.xml 中以设置NNIP/端口
This article assumes you choose host001 as NN, host002 as JT, and host003 as SNN.
本文假设选择host001作为NN，host002 作为JT，host003 作为SNN。
To get Psyco to do the desired optimization, you need to either add psyco.bind(NN) to code_recognizer.py or add psyco.jit() to bpnn.py.
要使Psyco 进行期望的优化，需要将psyco.bind(NN)添加到 code_recognizer.py或者将psyco.jit() 添加到bpnn.py 。
My dreams aren't finished, because another one was to make easily usable and distributable a trained NN by the end user.
我的梦想还没有终结，因为另一个梦是制造更容易使用和分配的能接受最终用户训练的NN。
Then, base on the problem of attitude control of a satellite under development, we design a NN compensation controller for high accuracy orientation phase.
然后，基于某型小卫星的姿态控制问题，设计了高精度定向阶段的神经网络补偿控制器。
The results show that the NN and GA can be used in structural damage identification system effectively.
结果表明，将神经网络和遗传算法用于结构损伤识别是有效的、可行的。
A fast method for spectrum analysis and interpolation using artificial neural network (NN) for the microwaves surveying system is studied.
本文研究了在微波探测系统中，利用人工神经网络做谱分析和插值的快速方法。
The 1-Nearest-Neighbor Rule (1-NN) is the simplest and most natural classification rule.
最邻近法则（1-NN）是最简单和最为自然的分类法则。
This paper presents a control scheme based on NN disturbance compensation for attitude control of satellite.
提出了一种基于神经网络扰动补偿的姿态控制方法。
The NN learning block, using BP network, is determined by comparing the simulation results.
神经网络学习模块采用BP网络，通过仿真分析确定了网络的结构。
NN: When you start with a hypothesis, you are dismissing a lot of other areas that might actually have an impact on whatever you are trying to figure out.
尼文•纳雷因：如果你从一个假设入手，你就排除了很多其他可能产生真正效果的领域。
One advantage of the algorithm is that the hidden-mapping model of NN makes it difficult to get the direct mapping function of the ordinary chaos encryption algorithm.
该算法的优点之一是神经网络（NN）隐式混沌映射关系使直接获取映射关系变得困难。
It is used to optimize the structure and delete the redundant connections in training the weight value of nn.
该算法在训练神经网络的权值的同时，优化其连接结构，删除冗余连接。
Combined with nn, this method can solve nonlinear coupled problems, which cannot be solved by normal distributed control.
结合神经网络可以解决常规分布式控制难于解决的非线型耦合问题。
What does the value of the gradient during NN training signify?
在神经网络训练的梯度表示的价值是什么？
Experiment result indicates it is entirely feasible to exercise NN technology processing real - time diagnose in electronic - control diesel trouble diagnose system.
实验结果表明，在电控柴油机故障诊断系统中运用神经网络技术进行实时诊断是完全可行的。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN algorithm, which usually relates to all attributes.
传统的K-近邻算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
NN controller of the scan mirror engine is researched in the theory, its steady condition is given, its feasibility is proved by the results of computer simulations.
在理论上研究了扫描镜电机的神经网络控制器，给出了其稳定的条件，并通过计算机仿真结果证明了它的可行性。
We use MATLAB program to gain sonar data, at the same time, we use the NN toolbox of the MATLAB to process sonar data and get fine error curve.
我们利用MATLAB编程来实现声纳数据的获得，并利用MATLAB中的神经网络工具箱对声纳数据进行了处理，得到了很好的误差曲线。
The arithmetic of NN probability and seismic attribute analysis.
概率神经网络算法与地震属性分析。
The theory of identification model based on neural networks(NN)is to research into its capability of nonlinear approximation.
神经网络的非线性逼近能力的研究是神经网络成为辨识模型的理论基础。
Based on the division of river-delta reservoir sedimentary facies, we present a distinguishing method based on the fuzzy reasoning NN.
针对河流-三角洲储层沉积微相的划分问题，提出了基于加权模糊推理神经网络的判别方法。
By revising a K-NN classification method based on evidence theory, a new K-NN classification method based on evidence reasoning model is got, which made the classification result more accurate.
本文对基于证据理论的k - NN分类方法进行了修正，得到了基于证据推理模型的k - NN分类方法，使分类结果更加精确。
The philosophy and algorithm of a NN model of chaotic phase space are introduced, then its application for hydrology is discussed.
简述了相空间神经网络模型原理和算法，并通过实例讨论了其在水文中长期预测中的应用。
In those lazy learning algorithms most extensively used is nearest neighbor classification (NN) algorithm.
其中消极学习型中应用最广泛的是最近邻分类算法。
In those lazy learning algorithms most extensively used is nearest neighbor classification (NN) algorithm.
其中消极学习型中应用最广泛的是最近邻分类算法。
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