Incorporating Ancestors' Influence in Genetic Algorithms

A new criterion of fitness evaluation for Genetic Algorithms is introduced where the fitness value of an individual is determined by considering its own fitness as well as those of its ancestors. Some guidelines for selecting the weighting coefficients for quantifying the importance to be given to the fitness of the individual and its ancestors are provided. This is done both heuristically and automatically under fixed and adaptive frameworks. The Schema Theorem corresponding to the proposed concept is derived. The effectiveness of this new methodology is demonstrated extensively on the problems of optimizing complex functions including a noisy one and selecting optimal neural network parameters.     

DHDECMP-TBP/OK萃取模拟高放废液中锕系元素的工艺研究

测定了22%DHDECMP 42%TBP/OK从模拟高放废液中萃取锕系元素的分配比;在微型离心萃取器(转鼓=10mm)串联台架上,进行了从模拟高放废液中萃取锕系元素的工艺条件研究。结果表明,经6级萃取、2级洗涤、6级反萃,流比AF∶AX∶AS=1∶1 5∶0 5,BF∶BX=1∶1时,在萃取器A中,U,Np,Pu,Am的回收率均大于99 9%;在反萃器B中,Am的反萃率>99 9%,U,Np和Pu的反萃率分别为2%,39%,2%。     

离子束辅助沉积立方氮化硼的试验研究

运用离子束辅助沉积(IBAD)法在硅片上制备了立方氮化硼(c—BN)薄膜，研究了辅助能量、辅助束流及辅助束中氮气含量等参数对膜中c—BN含量的影响。用红外光谱(FTIR)及X射线光电子能谱(XPS)分析技术对得到的c—BN膜进行了分析。结果表明：合适的离子辅助能量能够获得c—BN含量高的薄膜；膜中c—BN的含量随辅助气体中N2含量的提高而增加；辅助束流对薄膜的形成影响不明显。     

文本知识发现:基于信息抽取的文本挖掘蝌

In the general context of Knowledge Discovery, Knowledge Discovery in Text (KDT), which uses TextMining techniques to extract and induce hidden knowledge from unstructured text data, surges in the data and naturallanguage processing research. KDT is a multi-discipline of Artificial Intelligence, Machine learning, Natural Lan-ing with a stressing on its IE (Information Extraction)-based induction and specific sublanguage fields oriented prac-tices.     

汉语三字词声调的模式分析

汉语三字词的声调模式是复杂的。本文对4 男4 女各192 个三字词的声调进行分析,选择各音节的头尾差和相对调位比为特征,在进行特征抽取、统计和分析的基础上,研究了三字调整声调的模式和变调规则。本文的结果对三字词和连续语音声调的识别具有重要价值。     

Bayesian Landmark Learning for Mobile Robot Localization

To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optimality, since they rely on a human to determine what aspects of the sensor data to use in localization (e.g., what landmarks to use). This paper describes a learning algorithm, called BaLL, that enables mobile robots to learn what features/landmarks are best suited for localization, and also to train artificial neural networks for extracting them from the sensor data. A rigorous Bayesian analysis of probabilistic localization is presented, which produces a rational argument for evaluating features, for selecting them optimally, and for training the networks that approximate the optimal solution. In a systematic experimental study, BaLL outperforms two other recent approaches to mobile robot localization.     

一种融合PCA 和KFDA 的人脸识别方法

提出一种融合PCA和KFDA的人脸识别方法，即在进行非线性映射之前，首先利用经典的主分量分析(C—PCA)进行降维，然后执行KFDA．为进一步降低整个算法的计算时问，又提出一种I—PCA KFDA方法，它直接基于图像矩阵的主分量分析(I—PCA)．ORL标准人脸库的试验结果表明，与现有的核Fisher鉴别分析方法相比，两种方法可将特征抽取的速度分别提高3倍和7倍，其识别精度没有丝毫的降低．     

会展建筑中的大空间排烟系统分析

通过对会展建筑中的大空间展厅的火灾情形、排烟量及排烟方式的分析,得出了一个适合此类建筑的排烟系统设计的经济合理的参考方案.     

Recovery of indium and lead from lead bullion

Lead and indium were recovered by electrolysis and nonequilibrium solvent extraction process from lead bullion.The effects of current density,electrolytic period and circle amnant of electrolyte on the electrochemical dissolution of lead and indium were investigated.The effects of extraction phase ratio and mixing time on solvent extraction of indium and striping phase ratio and stripping stage on the loaded organic phase stripping were also investigated.The experimental results indicate that under optimum conditions,the purity of lead deposited on cathode is 98.5% and the deposit rate of lead is 99.9%,the dissolution rate of indium is 94.28%,the extraction rate of indium is 98.69%,the stripping rate of indium is almost 100%,and the impurity elements,such as Zn,Fe and Sn can be removed.     

海空背景下红外弱小目标检测方法

针对在海上搜救中弱小目标难以被发现的情况,提出了一种海空背景下红外弱小目标的检测方法.该方法首先进行背景预测,然后将原图像和背景预测后的图像差分进行目标提取,使用Top-Hat变换对目标提取后的差分图像进行滤波处理以去除残余波浪噪声影响,最后使用自适应阈值检测,检测出弱小目标所在的方位.通过和传统的对单帧图像采取Top-Hat变换滤波做法的比较,可以看出来该方法可以较好的去除海浪的影响,检测出亮度较高的红外运动弱小目标,辅助海上搜救工作的完成.