Neural networks的例句大全

The texture image classification system is designed and realized based on texture spectrum and neural networks for applications in microimage analysis.

以显微图像分析为应用背景，设计并实现了基于改进的纹理谱方法提取特征和以神经网络作为分类器的纹理图像分类系统。

The Block Triangular Connected Neural Networks and Its Applications

分块三角形连接权矩阵神经网络及其应用

Stability of Completely Connected Recursive Neural Networks

全连接回归神经网络的稳定性分析

According to this theory, we know that partially connected higher-order neural networks can approximate any continuous functions as fully connected neural networks can do.

根据这个理论，可知稀疏或部分连接的高阶神经网络象全连接的网络一样能够逼近任意连续函数。

Neural Networks of Fuzzy Hypersphere Barycenter Clustering

模糊超球质心聚类神经网络

The class-aggregating algorithm of the fuzzy hypersphere neural networks use a form factor θ to realize a supervised learning.

模糊超球神经网络的聚类学习算法采用形状因子θ实行有指导的学习。

Based on the fundamental rules of human brain's analyzing and reasoning in clustering, this paper proposes a learning algorithm of neural networks of fuzzy hypersphere barycenter Clustering.

基于人的大脑进行聚类分析所遵循的基本原则，提出了一种模糊超球质心聚类神经网络学习算法。

Application of neural networks reservoir prediction technique to HG area

神经网络储层预测技术在HG地区的应用

Interfacial property design of carbon fiber braid/ epoxy composites using neural networks

运用神经网络设计碳纤维织物/环氧复合材料界面性能

Study on Xi' xia Characters Recognition of Neural Networks

神经网络的西夏字识别技术研究

Revisit frequency of incremental crawler based on neural networks

基于神经网络的增量式crawler重访频率研究

The Application of Artificial Neural Networks to the Tunnel Eng in eer in g

人工神经网络在隧洞工程应用

Dynamic Data Reconciliation of Chemical Process Based on Recurrent Neural Networks

基于反馈神经网络的动态化工过程数据校正

The Investigation of Effects of Digital Proofing Systems Used in Colour Management on Print Quality with Neural Networks

采用神经网络技术研究色彩管理中数字打样对印刷质量的影响

The evaluation of land-value based on Artificial Neural Networks

基于神经网络的宗地地价评估探析

Selection of the Learning Samples of Neural Networks for Internal-Combustion Engine Emission

神经网络内燃机排放模型学习样本的选定

This article probes some classification methods, such as the Fisher linear discriminance, Neural networks, Support Vector Machine ( SVM), and so on.

本文主要对Fisher线性判别法、神经网络、支持向量机（support Vector Machine，SVM）几种分类方法进行探讨。

Eisodic Memory in Neural Networks Based on Synaptic Computing

基于突触计算的神经网络情景记忆模型研究

Thirdly, noticed that the structures of the commonly implemented neural networks for the prediction of hydrometeorological time series are static, while the static neural network cannot represent the changes of system dynamics efficiently.

注意到用于水文气象时间序列预测的神经网络结构通常是静态的，而静态神经网络无法有效反映系统动态的变化。

Auto cruise control system; Fuzzy model; Fuzzy neural networks;

自动巡航控制系统；模糊模型；模糊神经网络；