免疫优化神经网络对倒立摆的控制

人工免疫算法是基于生物免疫系统机理和特点发展而来的一种新型智能算法。针对BP神经网络传统训练算法的学习效率低、收敛速度慢且容易陷入局部最优等不足,采用免疫算法对BP神经网络权值进行优化,以实现对倒立摆的控制。实验结果表明,用免疫算法训练神经网络收敛速度快,并能有效避免陷入局部最优。优化后的神经网络能对实际的倒立摆装置进行控制,并取得了满意的效果。     

基于粒子群算法的BP神经网络优化技术

针对传统BP神经网络存在学习效率低、收敛速度慢和容易陷入局部极小值的问题,提出一种基于改进的PSO来优化BP神经网络的方法。通过在PSO算法中引入随机变化的加速常数来获得最优权值,对BP神经网络进行优化和训练,将优化的BP神经网络用于遗传高血压患病年龄的预测中。实验结果表明,该方法较好地解决了传统BP神经网络易陷入局部极小值的问题,提高了算法的收敛速度和稳定性。     

基于多遗传算法的BP神经网络人脸识别

人脸识别应用十分广泛,在实际问题中较高的识别率十分重要,其中BP神经网络模型广泛用于人脸识别.然而在现实应用中,BP神经网络结构和权值阈值的选取往往依靠经验值,这使得BP神经网络存在容易陷入局部最优和收敛速度慢等问题。针对该问题,提出了一种基于多遗传算法优化BP神经网络结构和权值阈值的人脸识别方法。利用主成分分析算法对人脸图像进行降维,快速独立成分分析算法对人脸图像进行特征提取,以组合算法的方式使得处理后的人脸图像特征更加明显。通过第一层遗传算法优化BP神经网络的结构,第二层遗传算法优化BP神经网络的权值阈值,以此解决BP神经网络陷入局部最优和收敛速度慢等问题。基于ORL人脸库进行仿真验证,实验结果表明该算法具有较高的识别率。     

基于遗传模拟退火算法优化的BP神经网络

在研究标准BP神经网络的基础上,针对其存在的收敛速度慢、且容易陷入局部极小值等问题进行分析,设计实现一种采用数值优化的方法来改进BP网络性能的新的混合神经网络模型.通过引入遗传模拟退火算法扩大了网络的权值更新空间,把得到最优权值赋予BP神经网络,从而使优化后的神经网络具有泛化性好,不易陷入局部极小值等优点.与标准BP神...     

基于PSO-BP神经网络的入侵检测技术优化算法的研究

针对基于BP神经网络的IDS技术收敛速度较慢,易陷入局部最优值、网络瘫痪,系统稳定性差等问题,本文提出了基于PSO-BP神经网络的入侵检测技术优化算法。利用粒子群优化算法优化BP网络的权重,首先利用PSO算法优化得到一个最优初始值,然后通过BP网络算法修正误差值,从而获得最优值。     

混沌蚁群算法在瓦斯爆炸性检测仪中的应用

针对瓦斯爆炸性检测仪传感器在实际生产中因构造和环境因素所产生的输入、输出非线性问题,将混沌蚁群算法和BP神经网络算法应用到瓦斯爆炸性检测仪中,提高瓦斯传感器精度.通过混沌蚁群算法对BP神经网络进行优化,改善BP神经网络收敛速度慢、容易陷入局部最优的缺点.实验结果表明:基于混沌蚁群优化算法的BP神经网络能够提高瓦斯检测系统的精度.     

改进PSO优化BP神经网络的混沌时间序列预测

为提高BP神经网络预测模型的预测准确性,提出了一种基于改进粒子群算法优化BP神经网络的混沌时间序列预测方法。引入自适应变异算子对陷入局部最优的粒子进行变异,改进了粒子群算法的寻优性能; 利用改进粒子群算法优化BP神经网络的权值和阈值,训练BP神经网络预测模型求得最优解。将该预测方法应用到几个典型的非线性系统的混沌时间序列进行有效性验证,结果表明了该方法对典型混沌时间序列具有更好的非线性拟合能力和更高的预测准确性。     

基于主成分的SFLABP网络模型在帕金森氏病分类中的应用

针对BP神经网络学习效率低、容易陷入局部最优等缺点,提出了一种基于主成分分析的混合蛙跳算法(Shuffle FrogLeaping Algorithm)优化的BP神经网络模型。使用主成分分析法对高维数据进行特征提取,作为网络输入;采用混合蛙跳算法优化BP神经网络的权系数和阈值,构建基于混合蛙跳算法神经网络的帕金森病分类模型。最后,以UCI中Parkinson数据为例,实验表明,新模型优于传统的BP网络。     

基于PCA和蜂群算法优化的BP神经网络

在研究BP神经网络的基础上,针对其收敛速度慢、容易陷入局部极小值等问题进行分析,设计实现一种新的混合神经网络模型。通过引入主成分分析的思想对样本进行降维,简化BP网络的结构,之后采用蜂群算法来优化BP网络的权值,把得到的最优权值赋予该神经网络,从而使优化后的神经网络具有结构简单、泛化性好和不易陷入局部极小值等优点。仿真实验结果表明,该网络模型能够达到比较高的分类精度。     

改进人工蜂群优化BP神经网络的分类研究

针对BP神经网络对初始权重敏感,容易陷入局部最优,人工蜂群算法局部搜索能力和开发能力相对较弱等问题,提出一种基于改进人工蜂群和反向传播的神经网络训练方法。引进差分进化思想改进人工蜂群算法,并对跟随蜂的搜索行为进行更准确的描述。用改进的人工蜂群全局搜索神经网络的初始权重,防止神经网络陷入局部最优。用新的方法对神经网络训练进行分类。实验结果表明,该算法相对于标准的BP神经网络,有效提高了分类正确率,泛化能力较强。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.     

The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine

Distributed real-time simulation is a young technology field but its practice is under increasing demands. In recent years the author and his collaborators have been establishing a new approach called the distributed time-triggered simulation (DTS) scheme which is conceptually simple and easy to use but widely applicable. The concept was initiated in the course of developing a new-generation object-oriented real-time programming scheme called the time-triggered message-triggered object (TMO) programming scheme. Some fundamental issues inherent in distributed real-time simulation that were learned during recent experimental studies are discussed along with some approaches for resolving the issues. An execution engine developed to support both the TMOs engaged in control computation and the TMOs engaged in DTS is also discussed along with its possible extensions that will enable significantly larger-scale DTSs.     

Software-Konfigurationsmanagement in großen Softwareprojekten

Zusammenfassung Mit zunehmender Größe der Softwaresysteme verschärfen sich die für die Software-Herstellung typischen Probleme: Beherrschen großer Objektmengen, Erhalten der Systemkonsistenz, Kontrolle der ständigen Änderungseinflüsse und Gewährleisten einer langen Lebensdauer. Die Disziplin Konfigurationsmanagement bildet den methodischen Ansatz, diese Probleme besser zu beherrschen. Software-Konfigurationsmanagement faßt die Herstellung von Softwaresystemen als eine Abfolge von kontrollierten Änderungen an gesicherten Zwischen- und Endergebnissen auf. Dargestellt werden die Objekte und Funktionen des Software-Konfigurationsmanagements sowie die hierfür in großen Software-Projekten benötigten Methoden, Instanzen und Hilfsmittel.     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and     

Editorial:Brain-machine interface(BMI) and cyborg intelligence

正Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to control     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate     

SCIENCE CHINA Information Sciences SUBJECT INDEX TO VOLUME 57(2014)

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Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate