Its basic thought is to effectively fuse the information , proceed the analysis from different aspects by variable children neural net , and heighten the accurate rate as possible 其基本思想就是通过对信息的有效融合，用各种子神经网从不同侧面进行分析，最大限度地提高分析的准确率。
The neural network we have built can be used to integrate and analyze the different kinds of well logging data to obtain the formation parameters in particular depth 透过本研究建立的两组类神经网路为主架构，可经由灰关联分析所选取之特定电测资科做为类神经网路的输入值，预测地层特性参数。
Therefore in this paper we trained a bp neural net by some oil spill images , then applied the bp fusion model on the edge detection of other oil spill images and obtained a good result 在本文中作者先通过溢油图像训练了一个bp神经网，然后再应用这个bp网来检测其它溢油图像的边缘并收到了较好的效果。
Antony , j . , multi - response optimization in industrial experiments using taguchi ' s quality loss function and principal component analysis . quality and reliability engineering international , 16 , 3 - 8 , 2000 徐立章，电浆电弧焊参数最佳化之研究-田口方法与类神经网路之应用，义守大学管理科学研究所硕士论文， 1999 。
The principle and characteristics of model - based fault diagnosis , and the limitations of other fault diagnosis approaches ( rule - based , based on artificial neural network , case - based ) were analyzed 摘要分析了基于模型的故障诊断方法的原理和特点以及其他故障诊断方法（基于规则、基于人工神经网、基于案例）的局限性。
After limitation of control chart using in practice is analyzed , a method of reasons diagnosis of out - of - control process using both fuzzy set and artificial neural network techniques is put forward 摘要在分析传统控制图在实际应用中存在的缺陷的基础上，提出了一种利用模糊集和人工神经网路技术进行工序失控原因诊断的解决办法。
Once the neural networks are accomplished , the impress modulus calculated from nanoidentation load - displacement data by oliver - pharr method can be input to the neural networks to get the 9 elastic parameters 神经网络固定之后，由纳米压痕试验得到的数据，经oliver pharr方法计算获得压痕模量之后，就可输入神经网获得该材料的九个0弹性参数。
The purpose of this study is to develop a computer model combined with grey relation and two set of neural network to analyze and integrate well logging data to obtain formation parameters around the well 摘要本研究是利用灰关联分析与两组独立类神经网路相互结合发展出一套自动选取与整合不同类型的井下电测资料，以进行地层参数预测分析的模式。
Self - organizing maps are a kind of unsupervised neural network , which project high - dimensional data to lower dimensions and , at the meantime , visually uncover the similarity among the original high - dimensional data 摘要自组映射图是一种非监督式学习类神经网路，可以将高维度资料投射到低维度空间，并以视觉化方式呈现，反映高维度资料之间的相似度。
The artificial neural networks ( ann ) with back propagation algorithms coupled with the sequential pseudo - uniform design ( spud ) was applied and demonstrated successfully to the modeling of the pmr system using limited but adequate experimental data 我们采用接续式拟均匀设计来安排实验取得少量但充足的数据并以类神经网路来建构钯膜反应器之代表性模式。
