基于RBF网络的增量学习

提出了一种基于径向网络的增量学习算法 ,在对新样本进行学习时 ,通过恢复受干扰样本的方式来尽可能保持已有的知识不变 .模拟实验证明了本算法的正确性和有效性 .     

美国五次并购浪潮及其历史背景

美国历史上曾发生过五次大的并购浪潮，对这段历史进行研究，对于进一步加强对我国并购活动管理工作具有重要的指导意义。     

磁放大器原理及执行器故障分析

论述了磁放大器的工作原理和特点 ,介绍了磁放大器在执行器中的应用 ,对执行器的两种常见故障作了分析     

运动学涡度及其测量方法

运动学涡度是从流体力学引入到地质学当中的,主要应用于应变非共轴程度的确定。自然界中的剪切变形通常是纯剪切和简单剪切2个端元复合作用的结果,称为一般剪切,利用运动学涡度(WK)可以定量分析两者间的相对大小。文章介绍了涡度的具体测量方法,即张裂脉中纤维法、旋转残斑法、石英C轴组构与主应变比值的方法、石英C轴组构与斜列颗粒形态的方法等。     

实现汽车发动机可变气门相位的新方法

介绍一种用于双顶置凸轮轴式发动机的采用两级谐波传动的新型进气凸轮轴调相机构。它由输入刚轮（正时带轮）、柔轮、输出刚轮（与进气凸轮轴联接）、固定波发生器、动波发生器和步进电机等组成。用步进电机驱动动波发生器可改变输出、输入刚轮的相对位置，从而改变进气相位。该机构能在很大角度范围内，以小步长实现多级调相，轴向尺寸小，转动惯量小，控制驱动功率小。２００ｈ试验表明，该机构工作可靠，能够准确地根据控制信号进行凸轮轴的调相。     

Pb-Sn-Bi三元系α相固溶体的点阵参数

应用X射线衍射法测定了Pb-Sn-Bi三元系Pb基α相固溶体的点阵参数,发现点阵间距与成分呈线性变化,对两批实验数据分别进行回归分析,得到点阵参数-浓度关系的统一解析式: α=0.49495X_(Pb)+0.47813X_(Sn)+0.50629X_(Bi)。其F检验置信度大于99.9％,残余标准差σ=6.4×10~(-5) nm,分析点阵畸变的影响因素表明尺寸效应是控制固溶体点阵行为的主要因素。     

Dynamic Characteristics of Inter-Satellite Links in LEO Networks

To establish an efficient inter-satellite link (ISL) in an LEO network, the effect of geometric characteristics of ISL on the ISLs and the devices on the LEO satellite should be examined. Because of the continuous movement of the LEO satellite, the time-varying behaviours of the ISL's geometric charactersistics continuously change with the changes of the satellite's position on the orbit. These dynamic geometric characteristics of the ISLs are important for ISL's performance analyzing and the design of the devices on the LEO satellite. This paper describes dynamic geometric characteristics of ISL, analyzes the impact of these regulations on the tracking system of the satellite's antenna and the power adjusting system of the satellite's transmitter, with the Iridium system as an example.     

Radar Imaging Based on Iterative Algorithms

It has long been realized that the problem of radar imaging is a special case of image reconstruction in which the data are incomplete and noisy. In other fields, iterative reconstruction algorithms have been used successfully to improve the image quality. This paper studies the application of iterative algorithms in radar imaging. A discrete model is first derived, and the iterative algorithms are then adapted to radar imaging. Although such algorithms are usually time consuming, this paper shows that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.     

Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier

Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an al-     

全球变暖-研究挑战日本全球变暖倡议书报告

本专题著作是“Chikyu Ondanka Kenkyu no Saizensen（全球变暖研究方法技术形势）”的英文译本，是针对日本政府内阁科学与技术政策委员会（CSTP）所制定的全球变暖研究倡议书的五份报告书之一。其余四份报告书分别为废弃物清理和资源循环技术、关于江河流域与城市地区生态和谐发展的改造、化学物品风险管理以及世界水循环圈。