一种基于遗传算法的改进PSO优化算法

从理论上分析了粒子群优化算法的收敛性,并针对标准PSO优化算法容易陷入早熟,收敛于局部最优解的问题,提出了一种基于遗传算法的带交叉因子的改进PSO优化算法,该算法通过对典型测试函数的测试,有效地加快了收敛速度和提高了收敛精度,能够有效地跳出局部收敛范围,避免陷入早熟,收敛于全局最优解。     

基于P系统的粒子群优化算法

为了克服算法早熟收敛问题并提高算法精度, 引入了膜计算理论。将PSO算法与P系统相结合, 提出了一种基于P系统的粒子群优化算法 (P-PSO), 有效地平衡粒子群的全局搜索和局部寻优。采用常用的三个测试函数对新算法进行了实验, 结果表明, 提出的P-PSO算法有效地解决了算法早熟问题, 提高了算法的收敛精度。由此可见, P-PSO算法能够有效改进原有PSO算法的性能。     

基于卡尔曼滤波的时变稀疏信号快速收敛重构算法

为了提高时变稀疏信号的重构性能,提出了融合压缩感知和卡尔曼滤波的快速收敛重构算法。通过伪测量（ PM）技术以及扩展卡尔曼滤波形式的线性化将近似l0范数约束有效地融合到卡尔曼滤波架构中,求解常规的卡尔曼滤波方程,重构出稀疏信号。此外,针对PM阶段的扩展卡尔曼滤波形式,提出了快速收敛算法,有效地保证了算法的收敛和精度。仿真结果表明,相比原有基于卡尔曼滤波的恢复算法,所提算法的重构精度更高、收敛更快。     

一种放大误差信号的BP算法

针对BP神经网络学习算法收敛速度慢、易陷入假饱和状态的问题,提出了一种快速收敛的BP算法。该算法通过修改激励函数的导数,放大误差信号来提高收敛性。给出了改进算法的收敛性分析并在实验仿真中将改进算法同时与标准BP算法和NG等人的改进算法进行比较。仿真结果表明,该算法在收敛速度方面大大优于另外两种算法,有效地提高了BP算法的全局收敛能力。     

基于改进的免疫克隆算法的装箱问题研究

提出了一种基于聚类竞争的改进免疫克隆算法,保证了抗体种群的多样性,有效地提高了算法的收敛速度,避免了不成熟收敛,将该算法应用于装箱问题中,取得了较好效果.     

基于免疫规划的模拟退火算法

通过对模拟退火算法优缺点的分析，提出了一种新型的模拟退火算法——基于免疫规划的模拟退火算法。该算法借鉴了生物免疫概念与理论，将免疫规划的全局寻优能力与模拟退火算法的局部寻优能力相结合，克服了模拟退火算法运算效率低的缺点。理论分析和仿真结果表明，该算法不仅能够有效地保持种群的多样性，而且收敛速度和稳定性都有了明显提高，收敛到最优值的比例可达到91%。     

基于遗传模拟退火算法的QoS组播路由算法

提出了一种基于遗传模拟退火算法的带宽、时延和时延抖动约束费用最小的组播路由选择方法，该方法针对遗传算法的局限性，采用基于备选路径集的整数队列编码机制，对适应度函数进行了调整，改进了交叉和变异操作，结合了模拟退火算法。实验表明，该算法能够有效地提高收敛速度、避免早熟收敛、满足多媒体网络对相应QoS的需求。     

一种免疫克隆选择算法在BP网络学习中的应用

在分析BP网络学习存在的问题后，采用了一种免疫克隆选择算法对BP网络的权值进行优化学习，并提出了一种新的变异方法，该变异方法可以根据亲和力的大小自适应调整抗体变异的幅度，与传统的高斯变异相比，不但简化了抗体的编码，还很好地体现了克隆选择算法抗体变异的特点，提高了算法的搜索能力和收敛性能。仿真实验表明，基于这种变异方法的免疫克隆选择算法可以很好地提高BP网络的学习速度，有效地避免算法过早收敛的问题。     

前馈神经网络以概率1全局收敛的新型混合学习算法NHLA

首先提出变形的ＢＰ算法ＩＢＰ，然后将它与Ｓｏｌｉａ和Ｗｅｔｓ的随机优化算法相结合，提出了新型混合学习算法ＮＨＬＡ。算法具有能以概率１全局收敛于误差函数最小值的性质，从而有效地克服了ＢＰ算法不能保证全局收敛于误差函数最小值的缺点。     

用于过程建模的BP网络的M训练法及其改进

以Sigmoid为传递函数的BP网络在过程系统工程领域已经得到了广泛的应用，但是一般的GDR训练算法在极小点附近易发生振荡，收敛速度慢。本文提出了人工神经网络M法训练的新途径，并且通过不同算例和工业实际数据建模应用证实了M算法的收敛速度大约是GDR算法的5－10倍左右，有效地提高了网络训练的速度和训练效率。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

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.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。