潜在电路分析中的拓扑模式图形生成算法研究

在电路网络树拓扑模式被识别出来的基础上 ,推导出网络树的基本拓扑模式图形生成算法 ,以便于分析设计人员使用拓扑模式图形的方式对电路系统进行具体的潜在电路分析     

红外型空空导弹智能制导律研究

本文论述了红外型空空导弹应用智能控制的理论基础及结构特点，以多级智能控制的框架和机理设计出以比例导引为主、智能控制为辅的变指令智能制导律，并编制计算机软件以数字仿真的形式验证变指令智能制导规律的有效性和可行性     

现代微波测量的发展动态

从微波测量仪器、测量技术及测量分析出发 ,简单地阐述了现代微波测量发展的趋势。供微波测量人员参考     

加强会计信息与网络安全的措施

企业的会计信息，是企业的主要经济信息，由于在企业的生产经营活动中所占的重要地位及所起的重要作用，其安全性一直受到人们的重视。会计信息是否安全可靠，不仅关系到能否如实地反映企业的生产经营情况和财务状况，为企业经营管理提供可靠的会计信息，而且也影响到国家、企业和职工的经济利益。本文介绍了加强会计信息与网络安全的主要措施。     

基于BP人工神经网络的GPS／SINS组合导航算法

基于扩展Kalman滤波的GPS／SINS组合导航算法，需要对原始的非线性连续系统模型进行线性化和离散化处理，要求系统噪声和测量噪声为零均值的高斯白噪声，且易于出现滤波器发散。BP人工神经网络毋需对所求解的问题建模，能够很好地逼近系统非线性特性，获得较高精度的导航定位信息；还具有计算过程稳定，不涉及矩阵求逆，不需要迭代逼近，以及容易实现并行处理等优点。本文设计适用于GPS／SINS组合导航系统的BP网络模型，并在标准的BP算法基础上，采用共轭梯度法改进网络训练速度及精度。最后，通过仿真算例说明BP网络方法用于GPS／SINS组合导航计算的可行性。     

六端口微波测量技术

六端口技术是从70年代初发展起来的一项新的微波自动测量技术。经过十多年来各国科技工作者的研究、实践,无论在理论上,还是在系统构成、误差分析等方面均趋于成熟。该技术目前已广泛应用于微波计量、安全防护和工业在线检测诸部门。由六端口网络组成的自动网络分析仪,可望成为技术性能高的自动测试系统。本文分四个部分,系统地介绍了六端口技术的发展及其在微波测量中的应用;几种常用六端口结的组成及其设计准则;六端口自动网络分析仪的校准及其测量方法,以及如何评定六端口网络分析仪不确定度等问题,供从事微波计量测试及有关人员参考。     

Air route network optimization in fragmented airspace based on cellular automata

Air route network optimization,one of the essential parts of the airspace planning,is an effective way to optimize airspace resources,increase airspace capacity,and alleviate air traffic con gestion.However,little has been done on the optimization of air route network in the fragmented airspace caused by prohibited,restricted,and dangerous areas (PRDs).In this paper,an air route network optimization model is developed with the total operational cost as the objective function while airspace restriction,air route network capacity,and non-straight-line factors (NSLF) are taken as major constraints.A square grid cellular space,Moore neighbors,a fixed boundary,together with a set of rules for solving the route network optimization model are designed based on cellular automata.The empirical traffic of airports with the largest traffic volume in each of the 9 flight information regions in mainland China is collected as the origin-destination (OD) air port pair demands.Based on traffic patterns,the model generates 35 air routes which successfully avoids 144 PRDs.Compared with the current air route network structure,the number of nodes decreases by 41.67％,while the total length of flight segments and air routes drop by 32.03％ and 5.82％ respectively.The NSLF decreases by 5.82％ with changes in the total length of the air route network.More importantly,the total operational cost of the whole network decreases by 6.22％.The computational results show the potential benefits of the model and the advantage of the algorithm.Optimization of air route network can significantly reduce operational cost while ensuring operation safety.     

An Artificial Neural Network based approach for estimation of rain intensity from spectral moments of a Doppler Weather Radar

By using a Doppler Weather Radar (DWR) at Shriharikota (13.66°N & 80.23°E), an Artificial Neural Network (ANN) based technique is proposed to improve the accuracy of rain intensity estimation. Three spectral moments of a Doppler spectra are utilized as an input data to an ANN. Rain intensity, as measured by the tipping bucket rain gauges around the DWR station, are considered as a target values for the given inputs. Rain intensity as estimated by the developed ANN model is validated by the rain gauges measurements. With the help of a developed technique, reasonable improvement in the estimation of rain intensity is observed. By using the developed technique, root mean square error and bias are reduced in the range of 34–18% and 17–3% respectively, compared to Z–R approach.     

基于自适应遗传BP算法神经网络数据融合的空中目标识别

空中目标识别是现代防空作战的重要研究内容。本文利用不同类型目标产生的多类型传感器的数据信息对目标进行识别。为了训练神经网络目标识别分类器,将遗传算法和BP算法相结合,提出了一种新的自适应遗传BP算法,利用这种神经网络来确定指标的权值。仿真试验结果表明,基于自适应遗传BP算法神经网络的识别是一种简单、可靠的目标识别方法,具有很好的目标识别效果。