论主题性概念的家用纺织品设计

通过对概念设计与设计概念、主题性概念设计的思维方法以及主题性概念家用纺织品设计方法的论述,来说明如何把握主题性概念家用纺织品设计的特点、规律与表现,并证实掌握概念设计的思维与方法对引领现代时尚与设计趋势有着重要的现实意义.     

A multi-objective approach to RBF network learning

The problem of inductive supervised learning is discussed in this paper within the context of multi-objective (MOBJ) optimization. The smoothness-based apparent (effective) complexity measure for RBF networks is considered. For the specific case of RBF network, bounds on the complexity measure are formally described. As the synthetic and real-world data experiments show, the proposed MOBJ learning method is capable of efficient generalization control along with network size reduction.     

An inference method for the complete inverse of relative subsumption

We propose in this paper an inference method called Bottom Generalization for Inductive Logic Programming (ILP, for short). We give an inference procedure based on it, and prove that a hypothesis clauseH is derived by the procedure from an exampleE under a background theoryB iffH subsumesE relative toB in Plotkin’s sense. The theoryB can be any clausal theory, and the exampleE can be any clause which is not implied byB. The derived hypothesisH is a clause, but is not always definite. The result is proved by defining a declarative semantics for arbitrary consistent clausal theories, and showing that SB-resolution, which was originally introduced by Plotkin, gives their complete procedural semantics. We also show that Bottom Generalization is more powerful than both Jung’s method based on theV-operator and Saturant Generalization by Rouveirol, but not than Inverse Entailment by Muggleton. At the ILP ’97 workshop we called our inference method “Inverse Entailment,” but we have renamed it “Bottom Generalization” because we found that it differs from the original definition of Inverse Entailment. The main part of this work was accomplished while the author was visiting the Artificial Intelligence Group, Department of Computer Science, Technical University Darmstadt, Germany. Akihiro Yamamoto, Dr.: He is an Associate Professor of the Division of Electronics and Information Engineering at Hokkaido University. He received the B.S. degree from Kyoto University in 1985, and the M.S. and Dr.Sci. degrees from Kyushu University in 1987 and 1990 respectively. He was a guest researcher of Oxford University Computing Laboratory, the United Kingdom, from January 1996 to March 1996, and of Department of Computer Science at Technical University Darmstadt, Germany, from June 1996 to May 1997. His present interests include the application of Logic Programming and Theorem Proving to Machine Learning.     

The Energy Concept Adviser—A tool to improve energy efficiency in educational buildings

Educational buildings such as kindergartens, schools and universities display many similar design, operation and maintenance features in most countries. The two most noteworthy similarities amongst these building types are the high energy consumption and the necessity for retrofitting many buildings within this sector. However, studies have shown that during retrofit, energy saving measures are only rarely applied, because the decision-makers lack knowledge of investments and the efficiency of potential energy saving measures. The main goal of the International Energy Agency ECBCS Annex 36 is to provide the educational building decision-makers with sufficient data, information and tools to improve their learning and teaching environments by improving the energy efficiency of their buildings.     

一种加速勘探开发的最佳模式——四川盆地大天池构造带石炭系气藏开发概念设计

气藏开发概念设计是在气田评价勘探中引入开发设计编制的一个新概念、新方式。以四川大天池构造带石炭系气藏开发概念设计为例，详细地介绍了如何从建立地质模型入手，进行包括气藏地质研究、开发方案编制、钻采工程设计、地面建设工程设计等内容的气藏开发概念设计；以详细的资料数据反映了该概念设计在大天池构造带开发前期建设中取得的经济效益及这种“模式”的应用推广情况。开发概念设计的及早编制和实施，加强了开发与勘探的早期衔接，加快了勘探开发进程，节约了大量资金。     

Concept of Sustained Ordering and an ATP-related Mechanism of Life’s Origin

This paper shows that the steady state of a system of conjugated reactions, which are characterized by disproportionation of entropy and proceed in the domain of linear interactions, is an attractor of ordering. Such systems are primed to produce ordering, and life is a specific manifestation of the sustained ordering inherent to the chemistry of carbon. The adenosine triphospate (ATP) molecule has properties which makes ATP hydrolysis to be most appropriate to form such a system in primitive world. Hence, ATP is suggested to play a key role in prebiological evolution. Principles of the origin and evolution of life following from the concept of ordering are stated.     

基于差异半监督学习的相关理论分析

基于差异的半监督学习属于半监督学习和集成学习的结合,是近年来机器学习领域的研究热点.但相关的理论研究较缺乏,且都未考虑存在分布噪声的情况.文中首先针对基于差异的半监督学习的特点,定义一种分类噪声和分布噪声的混合噪声(HCAD).其次给出算法在HCAD噪声下的可能近似正确(PAC)理论分析及其应用实例.最后基于投票边缘函数,推导出在HCAD噪声下多分类器系统的泛化误差上界,并给出相关证明.文中开展的理论研究可用于设计基于差异的半监督学习算法及评估算法的泛化能力,具有广阔的应用前景.     

基于人工免疫算法的增量式用户兴趣挖掘

了解用户兴趣是为用户提供个性化服务的关键.用户兴趣有短期兴趣和长期兴趣之分,且具有不稳定性.受人工免疫系统的启发,巧妙地将免疫应答过程应用于用户兴趣挖掘.首先将概率与时间相结合,提出“概念时序动态”的概念,以更好地刻画用户在一段时间内对同一兴趣的关注程度;然后基于人工免疫原理,建立抽取兴趣标签的分类器来提取用户兴趣标签;最后针对增量式学习,建立兴趣标签的“概念时序动态”,刻画出用户兴趣自首次出现以来受关注的程度,以此为依据来判断兴趣是否存在迁移及遗忘现象,并为每个兴趣标签附上权重.其主要贡献是创造性地将人工免疫原理应用于用户短期兴趣和长期兴趣的挖掘,并具有增量特性,可以很好地体现用户兴趣迁移特征,是一种自然完整的用户兴趣模型.实验结果表明,该学习模型能够很好地发现用户关注的领域,其平均精度和召回率分别达到79.5％和74.4％,是目前最贴近用户的兴趣挖掘模型.     

一种提高云计算环境下检测入侵者速度和正确率的新方法

云计算环境要求入侵检测系统(IDS)极其快速和准确,用于云计算的智能型IDS——反向传播神经元网络(BPNN)经常出现泛化问题,即BPNN无解或总误差函数不能收敛于全局最小值.泛化问题降低了BPNN的识别速度和正确率.为了解决该问题,提出两种解决方法.第一种是剔除相关性大的那些特征,保留相关性较小或互相独立的重要特...     

The scenario approach: A tool at the service of data-driven decision making

In the eyes of many control scientists, the theory of the scenario approach is a tool for determining the sample size in certain randomized control-design methods, where an uncertain variable is replaced by a random sample of scenarios. This point of view is rooted in the history of the scenario approach and stands on a long track record of successful applications. However, in the last two decades the theory of the scenario approach has gone beyond its original motivations and applications, and has unveiled some fundamental relationships between the complexity of a design and its generalization capabilities. The new knowledge brought by the theory provides a solid ground for a framework where data can be exploited in a flexible and wise manner throughout a large variety of engineering activities. By this article we aim at providing an access point to a set of state-of-the-art results in the theory of the scenario approach that can be valuable to target important challenges in modern control-design and decision-making at large. In the first part of the article, we introduce a set-up for decision-making where the role of prior knowledge and user preferences can, and should, be distinguished from the role of data. Then, we show that the theory of the scenario approach offers a platform for conjugating heuristic approaches, which in complex contexts are unavoidably based on incomplete and possibly imprecise information, with a solid theory for certifying the validity of the output of the decision process.