自学习在智能教学系统中的应用

采用信息论作为指导 ,对传统的CLS决策树学习算法进行改进 ,控制了决策树的大小。然后 ,根据学生认知水平的不同 ,将该算法运用于智能教学系统来建立决策树 ,指导教学方法的不断调整 ,达到因材施教的目的。     

Oil soluble polymers as a viscosity-reducing agent for super heavy oil

We, the Editor and the Publisher of Petroleum Science and Technology, have retracted the following article:

Li-Yan Pan, Guo-Qing Feng, Jin-cheng Mao &; Hai-Bin Wang. “Oil soluble polymers as a viscosity-reducing agent for super heavy oil,” Petroleum Science and Technology, Volume 35, 2017, Issue 8, pages 747–753. doi:10.1080/10916466.2016.1273240

We are now cognizant of the fact that the above article has substantial text-matching with the following article, to which no attribution was made:

Jincheng Mao, Jiawei Liu, Haibin Wang, Xiaojiang Yang, Zhaoyang, Bo Yang &; Jinzhou Zhago. “Novel terpolymers as viscosity reducing agent for Tahe super heavy oil,” RSC Advances, Volume 7, 2017, Issue 31, pages 19257–19261.

It is therefore not deemed to be an original contribution. We note the breach of warranties made by the authors with respect to originality and provenance, and of our policy on publishing ethics and integrity. We note that we received, peer-reviewed, accepted, and published the article in good faith based on these warranties, and censure this action.

We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.     

用波形迭代法分析非均匀多导体传输线的时域响应

本文从频域电报方程出发推出了一个描述传输线ABCD矩阵的微分方程,将传输线时域响应分析从微分方程的边值问题转化为数学上更易求解的初值问题。然后利用波形迭代法数值求解非均匀传输线的ABCD矩阵,证明了一个关于迭代收敛性的定理,并据此采取了旨在加快收敛速度的将传输线分割成许多相互级联的子网络的步骤。传输线的ABCD矩阵求得后,便可借用付里叶变换和卷积技术对具有线性、非线性负载的传输线时域响应进行分析。给出的应用实例表明,诙分析方法是有效而可靠的。     

氢化非晶硅在器件表面钝化工艺上的应用

氢化非晶硅具有半绝缘、富含氢和电中性等特点。本文概述了非晶硅的表面钝化工艺及其钝化效果,对其钝化机理也进行了讨论.     

Data truncation artifact reduction in MR imaging using a multilayer neural network

A magnetic resonance image (MRI) may contain truncation artifacts if there are not enough high-frequency data when the conventional Fourier transform method is used for reconstruction. A method for reducing the artifacts using a multilayer neural network is presented. The network consists of one linear output layer and at least one nonlinear hidden layer. The missing high-frequency components are predicted based on known low-frequency components and are used to reduce the truncation artifacts of the image. Results from a series of simulation experiments are discussed.     

a—Si：H／c—Si异质结的高频C—V特性

测量了GD a-Si:H/n-c-Si异质结的高频C-V特性,由平带电压的偏移,计算了有效表面电荷和表面态密度,应用突变异质结能带模型对结果作了分析.     

多传感器目标识别的数据融合

本文针对军事上的目标识别问题，论述了多传感器的属性融合技术，包括属性融合的概念，原理，处理结构，算法及应用举例，指出属性融合中存在的主要问题，难点及可能解决的途径，并预测了未来发展趋势。     

角调谐飞秒同步泵浦KTP红外光参量振荡器

用平均输出功率为１．１Ｗ，脉宽为９０ｆｓ的商用再生锁模Ｔｉ：Ｓａｐｐｈｉｒｅ激光器作为泵浦源，用ＫＴＰ作为非线性光学介质，制成一台同步泵浦飞秒光学参量振荡器。其输出调谐范围为１．０４μｍ至１．２６μｍ，平均输出功率在１００ｍｗ左右，脉宽仅约１００ｆｓ。     

柱形颗粒群直径分布的激光衍射测量技术

提出了用激光衍射功率谱方法测量柱形颗粒群直径分布的技术方法，解决了长颗粒随机排列时的功率谱探测，及数据快速优化方法等技术难题。此技术已地应用于由羊毛和化纤截成的柱形颗粒群直径分布的测量，实现结果证明了此技术的可行性和实用性。