浅谈柔性制造系统的现状及实施

本文以美国所用柔性制造系统为例，以大量翔实的数据。阐述了柔性制造系统使用的现状及存在的问题，并针对这些问题提出相应的措施。     

Application of multi-layer perceptron neural networks to vision problems

This paper discusses the application of a class of feed-forward Artificial Neural Networks (ANNs) known as Multi-Layer Perceptrons(MLPs) to two vision problems: recognition and pose estimation of 3D objects from a single 2D perspective view; and handwritten digit recognition. In both cases, a multi-MLP classification scheme is developed that combines the decisions of several classifiers. These classifiers operate on the same feature set for the 3D recognition problem whereas different feature types are used for the handwritten digit recognition. The backpropagationlearning rule is used to train the MLPs. Application of the MLP architecture to other vision problems is also briefly discussed.     

Migration Processes II: The Discrete Case

Following the study of migration processes in the continuous domain in Part I of this paper, we reformulate the concept of migration in the discrete domain (Z^m) and define Discrete Migration Processes (DMP). We demonstrate that this model is a natural discrete representation of the continuous model and maintains the model's features in a qualitative sense. We show that under discrete migration any discrete set shrinks to a limit in finitely many iterations. The discrete representation provides an advantageous basis for digitally implementing the MP model. Using this implementation we illustrate the discrete migration of various types of sets under various types of constraints.     

A Neuro-fuzzy Coding for Processing Incomplete Data: Application to the Classification of Seismic Events

This letter presents a method for modelling and processing incomplete data in connectionist systems. The approach consists in applying a neuro-fuzzy coding to the input data of a neural network. After an introduction to the different kinds of imperfections, we propose a neuro-fuzzy coding in order to take incomplete data into account. We show the efficiency of this coding on the problem of the classification of seismic events. The results show that a neuro-fuzzy coding of the inputs of a neural network increases the performance and classifies incomplete data with little affect on the results.     

造纸过程中定量检测系统的研究

介绍了以MCS－51系列单片机为核心的定量检测系统的基本原理。并对其硬件结构和软件设计进行了详细地介绍。     

火力发电厂工业冷却水系统工艺分析

从技术、经济和安全三个方面分析了采用不锈钢管材凝汽器的火力发电厂的工业冷却水系统，采用闭式循环工艺运行方式的合理性。     

绝缘材料水树产生及发展机理的研究现状

本文介绍了水树枝的定义、分类以及影响因素,在参考了16篇中外文献的基础上综述了常用绝缘材料中水树的生长过程和引发机理,推导出水树长度与老化时间、电场强度等因素的关系式。     

高流速双室床节水效果评价

高流速双室床(HDCB)是我国自主开发的一项水处理新技术。陕西某热电厂1年多的运行结果表明,其自用水率仅为3.2%,远低于反渗透(33%)及其他离子交换技术(10%)。HDCB自用水率低是由其结构及运行特性决定的,它具有周期制水量大,再生步骤少,再生过程用水量少,大反洗(清洗)次数少等特性,是目前化学水处理技术中节水效果最好的一种技术。     

解读电站锅炉大板梁的吊装

在分析大板梁结构特点、吊装方法应考虑的主要因素的基础上,通过17个实例介绍了大板梁吊装的10种方法,并对各种方法进行了剖析。     

环境氡气辐射规律及防治研究

氡对人体的辐射伤害占人体所受到的全部环境辐射的55%以上。氡气会导致肺癌、白血病、皮肤癌及其它呼吸道病变的产生。本文在国内外相近课题研究基础上,采用仪器测量及理论分析相结合的方法,对全国各地多种地质构造取样的数据进行分析处理,总结了地壳中放射性元素的分布规律及大气中氡的来源。文章着重从岩石、土壤、地下(热)水、矿山及室内几个方面讨论了氡浓度的影响因素及分布规律。最后提出了室内氡气防治方法及降氡措施,以便更好地进行放射性环境评价以避免氡对人体的危害。