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 。
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。
Compared with the classical method, the identification accuracy and the generalization capability of nn are testified to be superior in either the free - noise or noisy case.
结果表明，在无噪和有噪情况下，神经网络模型的辨识精度和泛化能力都要优于传统方法。
According to the characteristics of injection products, a K-Nearest Neighbors (K-NN) case retrieval strategy was proposed based on rough set and simulated annealing algorithm.
针对注塑产品特点，提出了基于粗糙集和模拟退火算法的事例最邻近检索策略。
NN: I know you cover the airline industry pretty intently, so you are probably familiar with those airline route maps that show all the connections between hubs cities and destinations.
尼文•纳雷因：我知道你经常报道航空业，你可能很熟悉航空公司的路线图了，它们展示了各个枢纽城市和目的地之间的联系。
NN: We get asked that fairly often.
尼文•纳雷因：我们经常会被问到这个问题。
The design of robust controller with NN.
带神经网络辨识器的鲁棒控制器设计。
The test results show that the NN model is practicable.
测试结果证明了模型的可行性。
The way to reduce training time of NN is also discussed.
文章还提出了一些减少人工神经网络学习训练时间的方法。
This paper uses GA-BP model to construct three-layer NN model.
本文应用GA-BP网络模型，建立了三层GA-BP神经网络模型。
The first modeling approach is artificial neural network (NN).
第一种建模方法为人工神经网络模型。
The arithmetic of NN probability and seismic attribute analysis.
概率神经网络算法与地震属性分析。
A partial features based similarity K-NN retrieval method is proposed.
提出了基于部分特征的K -近邻相似检索方法。
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。
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
Satisfactory results showed that NN can recognize different PD patterns successfully.
结果表明，神经网络能很好地识别局放模式。
A mixed NN model is constructed using BP algorithm improved with dynamic learning rate.
利用动态学习率改进BP算法，建立了混合神经网络模型。
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。
The mechanical background for structural approximate analysis with RBF NN has been researched.
研究了基于RBF网络的结构近似分析的力学基础。
Then a genetic neural network for layout sub-problem is produced with GA and NN integrated together.
结合遗传算法，构造了布局子问题的遗传神经网络算法。
The one main way that NN is applied to FDD is dynamic system identification with feedforward networks.
采用前馈型网络对动态系统辨识是神经网络应用到故障检测和诊断中的主要方法之一。
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。
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。
A classical Back Propagation Neural Network (BP NN) has been developed to solve the same problem for comparison.
并应用传统的BP神经网络解决同样的问题以进行比较。
The results showed that RBF NN can distinguish magnetizing inrush currents from internal fault currents correctly.
结果表明：RBF神经网络可以正确地区分励磁涌流和短路电流。
Secondly, Neural Network (NN) model was built up to predict ultimate bond strength between the rebar and corroded concrete.
其次，建立了受腐蚀钢筋混凝土极限粘结力的神经网络预测模型。
Secondly, Neural Network (NN) model was built up to predict ultimate bond strength between the rebar and corroded concrete.
其次，建立了受腐蚀钢筋混凝土极限粘结力的神经网络预测模型。
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