Neural networks

Aim To study some applications of a neural networks in combinatorial optimization.

目的研究神经网络在组合最优化问题中的应用.

A Model of Synthetic Evaluation for Economic Benefit Based on Hamming Neural Networks

基于Hamming神经网络的经济效益综合评价模型

Study of Application of Wavelet Analysis to Neural Networks for the Forecast of Solar Irradiance.

小波分析在太阳辐射神经网络预测中的应用研究.

It is showed by the simulation that the fuzzy neural networks can effectively control inverted pendulum.

仿真结果表明,此模糊神经网络可以很好地控制倒立摆.

The self-organization process neural networks ( FPNN ) consists of input layer and competition layer and output layer.

自组织过程神经元网络 ( FPNN ) 由输入层、竞争层和输出层组成.

Synthesis parameter assessment methods and practical application are given by artificial neural networks method.

采用人工神经网络方法给出了地下结构可靠性综合因素评价方法及应用实例.

Include: neural networks, handwriting character recognition, fingerprint recognition, voice recognition, face recognition, expert systems.

内容包括: 神经网络, 手写体文字识别, 指纹识别, 语音识别, 人脸识别, 专家系统等.

Decision tree, neural networks and Bayesian networks are the main tools of KDD.

决策树 、 神经网络、Bayesian网络等是当前知识发现的重要工具.

Here the author emphasizes non-linear neural networks used to data mining.

作者在文中重点论述了用于数据开采的非线性神经网络.

Direction of Arrival Estimation Approach Based on Phase Angle Feature of Correlation Function Using RBF Neural Networks

基于互相关函数相角特征的RBF神经网络来波方位估计

Evaluation Model of Reliability Index on Communication Network based on Hamming Neural Networks

基于Hamming神经网络的通信网可靠性指标评价模型

A new algorithm of negative gray-scale image based on cellular neural networks ( CNN ) is proposed.

提出了一种基于细胞神经网络的灰度图像负片算法.

Artificial neural networks were used to emend and analyze the chroma of scar tissue in pictures.

用人工神经网络方法对瘢痕图像的色度进行校正和分析.

Neural networks are computer systems which mimic the workings of the brain

神经网络是模拟大脑工作方式的计算机系统。

Target Identification Model of Radar Countermeasure Based on Fuzzy Neural Networks

基于模糊神经网络的雷达对抗目标识别模型

Neural networks are computer systems which mimic the workings of the brain.

神经网络是模拟大脑工作方式的计算机系统。

New realization of neural networks is presented by using MOS transistors in current mode domain.

本文提出了采用MOS晶体管 的电流型模拟电子神经网络的新实现.

An efficient intrusion detection technology on probabilistic neural networks is presented.

提出一种基于概率神经网络的高效入侵检测技术.

In many kinds of artificial neural networks, BP neural nets is one of the most pioneer and common models, it is successfully applied to equipment fault diagnosis.

目前应用的若干神经网络模型中，BP网络模型是人们认识最早应用最广泛的一种，它也是在设备故障诊断领域应用最成功的一种神经网络模型。

Aiming at the limitation of traditional wavelet transform, our paper propose a new image fusion novel that after decomposing the image with fast wavelet transform, we use pulse coupled neural networks to choose fusion rule instead of artificial selection.

本文针对传统小波变换存在的缺陷，提出在对图像进行快速小波分解后，通过脉冲耦合模型代替人工选择融合规则，形成的一种基于小波分解和脉冲耦合神经网络的图像融合新方法。

Forward Neural Networks Control Theoretical Research and Its Application

前向神经网络控制理论研究及其应用

For that reason, the paper presented an improved RBF neural networks algorithm based on the nearest adjacent distance that can adaptively adjust width value of central points in basic function in order to attaint the goal approaching samples with high precision and high speed.

为此本文以最近邻距离算法为基础提出一种改进的RBF神经网络算法，能够自适应地调整基函数中心点宽度值以达到高精度、快速逼近样本的目的。

The neural networks theory is applied to predicting soft foundation settlement field.

将神经网络理论引入软基沉降预测领域.

In the model experiment, intact members are replaced by the prefabricated damage members to form damage structure. For test own limitations, some damage samples can be obtained by the model experiment and these damage samples can be considered as the testing samples of the neural networks.

在模型试验中，通过预制好的损伤构件来替换完好的构件形成损伤结构，由于试验本身的限制，部分损伤样本通过模型试验获得，所获得的损伤样本作为网络的测试样本。

The mining subsidence prediction with combination of fuzzy inference and neural networks is investigated.

用模糊数学与神经网络结合的方法研究开采沉陷的预测.

An algorithm to optimize artificial neural networks structure based on constructive method is presented.

提出了一种基于增长法的神经网络结构优化算法.

A novel model based on Bayesian neural networks for prediction of protein secondary structure is provided and a comparison of the performance of Bayesian neural networks ( BNN) with traditional BP neural networks ( BPNN) is made.

提出了一种新的基于贝叶斯神经网络（BNN）的蛋白质二级结构预测方法。

Exponential stability of the Cohen-Grossberg neural networks with multiple time-varying delays are analyzed.

研究了多重时变时滞的CohenGrossberg神经网络的指数稳定性.

The application of Artificial Neural Networks ( ANN ) to Automatic Speech Recognition ( ASR ) is investigated in this thesis.

本文基于自动语音识别 ( ASR ) 的原理和过程,结合人工神经网络 ( ANN ) 的建模理论及特点,主要研究了人工神经网络在自动语音识别中的应用问题.

A novel algorithm based on auto associative neural networks AANN is given for sensor failure diagnosis.

综合自联想网络的最优估计与故障诊断,自动区分估计误差和传感器故障.