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NN

网络神经网络(neural network)；最近邻点插值法(nearest neighbor)；神经网络资料合辑

NN

NN

神经网络(neural network)

...网络（），），是由大量的简单处理单元也简称为神经网络（NN），是由大量的简单处理单元经广泛并行互连形成的一种 …

最近邻点插值法(nearest neighbor)

...) Multi-view recognition Nearest Neighbor (NN) K Nearest Neighbor (KNN) 【目录】基于Procrustes 形状频谱分析的多视角 …

神经网络资料合辑

网站地图 | 当前位置：西东网 → 电脑 → 网络 → 《神经网络资料合辑》(NN)rar《神经网络资料合辑》(NN)rar 西东.网 Some Ri…

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Neural network (NN) has recently applied to mobile robot control due to its universal mapping property , and the result will be satisfactory.

利用神经网络对非线性函数的强映射特性，把它应用在非完整移动机器人的控制上，可取得较好的效果。

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An improved algorithm in neural network(NN) data pretreatment was presented . By testing , the data pretreatment method is better than before.

提出了基于对数变换的数据预处理改进算法，测试表明效果较好。

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Align: n n is the number of bytes to which memory is aligned .

nn 是内存对齐的数值。

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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 。

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Also , this paper demonstrates superiority of the IGA-NN by comparing it with the neural network optimized by standard genetic algorithm .

同时还将 IGA-NN 与标准遗传算法优化的神经网络模型进行了比较，显示了 IGA-NN 的优越性。

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The nn component of the link name indicates the priority order in which the service should be started or stopped .

链接名称的 nn 部分表示服务启动或暂停的优先级别。

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PRS large size cylindrical roller bearings can be divided into two types: single-row type(NU, N) and double-row type (NN, NNU).

PRS 提供的大型圆柱滚子轴承有单列（NU 、N ）和双列（NN 、NNU 型）两种类型。

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To further improve the forecast accuracy of this model , and reduce its forecast error, I also improve the BP NN in this article .

为了进一步提高模型预测的准确度，减小预测误差，本文还对 BP 神经网络进行改进。

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The using patterns of NN(neural network)in fault diagnosis are researched . The way of NN(neural network)in fault diagnosis are discussed .

本文研究了神经网络在故障诊断中的运用方式，探讨了故障诊断的神经网络方法。

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Decision tree (DT) is a typical model for symbolic learning , and neural network (NN) is the most popular model for non-symbolic learning .

决策树是一种典型的符号学习模型，神经网络是一种最常见的非符号学习模型。

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The modeling of the growing status of the cauline of tomato in growing process is discussed , by using NN and genetic algorithm .

采用神经网络和遗传算法，对温室栽培番茄生长过程中主要器官 -茎的生长过程进行了建模。

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Also the NN model was compared with the models obtained respectively by multi-linear and nonlinear regression .

并与多元线性和非线性回归模型作了比较。

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RBF (Radial Basis Function) NN is more suitable for system identification and control because its outputs are linear to the weights .

RBF 神经网络因其输出对权值的线性关系，更适于系统辨识和控制。

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Finally, it proposes a class of NN algorithm development from the angle of core idea of SVM algorithm .

从支持向量机算法思想角度，提出了一类神经网络算法的发展。

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The parameters of the pilot NN model are identified by experimental results .

最后，对模型辨识结果进行了精度评价。

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An adaptive dynamic inversion controller design method based on neural network(NN) is proposed for super maneuverable fighter aircrafts.

提出基于在线神经网络的超机动飞行自适应动态逆鲁棒控制方法。

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Secondly, research on generalization performance of NN is stated .

最后介绍神经网络在控制领域的应用研究以及发展情况。

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