神经网络分析法

本文将自动化控制学科的知识应用于证券分析上，并在此基础上提出了BP神经网络分析法。

The paper will analyze the stock by knowledge of automation and control which is the foundation of proposed BP neural network analysis .

在此基础上，采用了定量预测即：弹性系数预测法及神经网络分析法即BP神经网络法对福建省煤炭需求进行预测。

Based on that , by using quantitative prediction methods , which include elasticity coefficient prediction method and neural network analysis , this paper forecasted the total coal demand .

高炉炉壁侵蚀状态预测的神经网络分析法

The neural network method for predicting erosion of blast furnace wall

用神经网络分析法评价机械加工工艺参数

Neural Network Analysis on Evaluating the Mechanical Technological Parameters

通过对比神经网络分析法和其他分析方法得知，神经网络的非线性逼近能力以及自学习、自适应能力对于股市的分析具有良好的应用作用。

Compare to neural network analysis and other analyze method , the formal analyze method has a good application effect for its nonlinear approximation ability , self-learning and self-adaption .

本文在综合分析常用故障诊断方法优缺点的基础上，采用了一种以专家系统为基础，结合故障树和神经网络分析法的飞行驾驶仪的故障诊断方案。

A flight pilot fault diagnosis scheme based on expert system and combined with fault tree analysis and neural network analysis is proposed , according to the comprehensive analysis of advantages and disadvantages of commonly used method of fault diagnosis .

本文在于结合BP神经网络、层次分析法两种方法，利用层次分析法确定各变量的权重并作为神经网络的输入单元。

This is combined with BP neural network and AHP , using AHP to determine the weight of each variable , which is the neural network input unit .

基于神经网络和层次分析法的断路器状态诊断

State Diagnosis of Circuit Breaker Based on Artificial Neural Network and Analysis Hierarchy Process

神经网络降维分析法用于制浆蒸煮工艺条件的优化

Optimization of Technical Condition for Pulping Process Using Reducing Dimensional Analytical Method on Neural Network

人工神经网络-伏安分析法同时测定邻、间、对二硝基苯

Simultaneous Determination of o _ , m _ , and p _Dinitrobenzene in Mixture by Artificial Neural Network and Differential Pulse Voltammetry

借助安全系统工程理论，主要运用事故树分析法、模糊综合评价法、灰色综合评价法、物元分析法、人工神经网络和层次分析法等对油库进行综合评价。

In virtue of safety system engineering theory , FTA method , fuzzy method , gray comprehensive evaluation method , object-cell analysis method , ANN , AHP method etc are mainly employed in comprehensive evaluation for oil depots .

同时利用BP神经网络和多元回归分析法对碳酸盐岩地层实测破裂压力数据进行统计建模和预测研究。

And by the BP neural network and multi-regress analysis technique , some reasonable statistical models of formation fracture pressure are established by making full use of formation fracture pressure data of carbonate formation , and the prediction study is developed .