1、

Neural Logic Network NLN

神经逻辑网络NLN

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2、

Assessment of traffic atmospheric environmental quality with LVQ neural network model

基于LVQ神经网络模型的道路交通大气环境质量评价

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3、

An Approach to Mechanism Type Selection Using LVQ Neural Network

采用学习向量量化神经网络法研究机构的选型

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4、

Study on Modelling Method for Specific Crack Change Based on NBP Neural Network

基于NBP神经网络探讨特殊变化规律裂缝的建模方法

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5、

The N-R method of acquiring knowledge automatically and interactively based on Neural Network

基于神经网络的交互式自动获取知识的N-R方法

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6、

BP Neural Network model is better for fog which horizontal visibility less than lkm.

雾霾神经网络模型对水平能见度小于1km雾的预报好于事件概率回归预报模型。

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7、

A multi-variable analytical model has been built to study the effect of key input variables ( KIV) on YS ( KOV) through analysis of a great number of historical data on production with three different methods including regression analysis, neural network and decision tree.

基于大量的生产过程历史数据,分别用回归分析、神经元网络、决策树三种不同方法进行分析,建立各关键输入变量(KIV)对屈服强度(KOV)影响的多变量模型。

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8、

Selecting Important Defence Targets in Air Defence Based on Fuzzy Neural Network

基于模糊神经网络防空重点保卫目标的选择

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9、

Research of Neural Network Control on Electro-hydraulic Proportional Complex Variable Pump

电液比例复合变量泵神经网络控制的研究

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10、

At beginning, we introduced fundamental theories of radial basis function neural network, which has local approximation property; this property can be used to compute inverse process of nonlinear blind source separation.

首先分析了径向基函数神经网络的基本原理,它具有局部逼近特性,可用于非线性盲源分离中逆函数的逼近过程中。

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11、

On this basis, we studied and improved the current neural network mutual learning model; furthermore we designed a new lightweight key exchange protocol.

在分析现状的基础上,重点研究和改进了基于神经网络互学习同步理论的神经密码协议,并基于此设计了一种全新的轻量级密钥协商协议。

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12、

Research on Fuzzy Neural Network Method for the Usableness Management of Navigation Sources

导航源可用性管理的模糊神经网络方法研究

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13、

Multi-valued Fuzzy Neural Network Control System with Learning Capability

具有学习功能的多值模糊神经网络控制系统

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14、

Starting with the research on astronomic factor which arouses tide phenomenon, this paper introduces a method of nonharmonic analysis based on neural network to predict tide.

运用非调和法,直接从引起潮汐现象的天文因素入手,以2002年香港验潮站实测资料为例,用神经网络对潮汐知识进行了学习仿真,对未知结果进行了预报。

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15、

For the first time, 25 ℃ penetration degree and 100 ℃ kinematic viscosity of modified paraffin wax were predicted by using the generalized back propagation ( GBP) neural network. The absolute deviation ( A.D.)

首次采用GBP模型对改性石蜡的25℃针入度和100℃运动粘度进行了预测,25℃针入度预测的绝对误差(A.D.)

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16、

Application of GBP neural network in predicting the properties of modified paraffin wax

GBP神经网络在改性石蜡性质预测中的应用

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17、

Fault diagnosis in nonlinear analog circuit based on Wiener kernel and BP neural network

基于Wiener核和BP神经网络的非线性模拟电路故障诊断

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18、

The Generalized Predictive Control for Wiener Model System Based on Neural Network Online Trainning Algorithm

Wiener型系统基于神经网络的在线训练算法广义预测控制

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19、

Fatalness assessment of accident hidden danger based on wavelet neural network

基于小波神经网络的事故隐患危险性评价

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20、

Artificial Neural Network Models for Gap Discon Discontinuities in Asymmetrical Striplines

非对称带状线间隙的人工神经网络模型

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