Neural networks的例句大全

Several methods of extracting rules from database using neural networks are surveyed in this paper: extracting rules based on BP network and BP algorithm using combining weight algorithm.

评述了利用神经网络从数据库中进行规则发现的几种方法，采用权值组合算法提取规则；

Artificial neural networks model for financial failure prediction of medical institutions

医疗机构财务失败预测的人工神经网络模型

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

Firstly, the C-ANN ( chaotic artificial neural networks) forecasting model is set up based on Kolmogorov continuity theorem.

第一，根据Kolmogorov连续性定理，建立了混沌&神经网络（C-ANN）预测模型；

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。

Classification of lake bottom sediments using a wideband active sonar system Application of self-organizing mapping artificial neural networks to grain-size analysis

宽带声呐湖底沉积物分类研究自组织人工神经网络在矿区沉积物分类中的应用

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.

Structural damage detection using amendatory BP neural networks

利用修正的BP神经网络进行框架结构损伤诊断

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。

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.

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。

Study on Attributions Selection and Rule Extraction of Data Mining for Classification Based on Neural Networks

基于神经网络的分类数据挖掘属性选择和规则抽取研究

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

Delay-dependent Global Attractivity in BAM Neural Networks

依赖时延BAM神经网络的全局吸引性分析