TMLNN: triple-valued or multiple-valued logic neural network

We discuss the problem of representing and processing triple-valued or multiple-valued logic knowledge using neural network. A novel neuron model, triple-valued or multiple-valued logic neuron (TMLN), is presented. Each TMLN can represent a triple-valued or multiple-valued logic rule by itself. We will show that there are two TMLNs: TMLN-AND (triple-valued or multiple-valued "logic AND") neuron and TMLN-OR (triple-valued or multiple-valued "logic OR") neuron. Two simplified TMLN models are also presented, and show that a multilayer neural network made up of triple-valued or multiple-valued logic neurons (TMLNN) can implement a triple-valued or multiple-valued logic inference system. The training algorithm for TMLNN is presented and can be shown to converge. In our model, triple-valued or multiple-valued logic rules can be extracted from TMLNN with ease. TMLNN can thus form a base for representing logic knowledge using neural network.     

Amino acid sequence of a Ca(2+)-transporting ATPase from the sarcoplasmic reticulum of the cross-striated part of the adductor muscle of the deep sea scallop: comparison to serca enzymes of other animals

Emotion regulation has been conceptualized as the extrinsic and intrinsic processes responsible for monitoring, facilitating, and inhibiting heightened levels of positive and negative affect. Regulation of distress is related to the use of certain behavioral strategies. Our study examined whether putative regulatory behaviors widely assumed to be conceptually associated with these strategies are actually empirically associated with the changes in fearful and angry distress in 6-, 12-, and 18-month-old infants. Our key finding was that the use of some putative regulatory behaviors (e.g., distraction and approach) reduced the observable intensity of anger but were less effective in reducing the intensity of fear. The results suggest (1) caution in assuming that postulated regulatory behaviors actually have general distress-reducing effects and (2) the likelihood that "distress" is too global a construct for research on emotion regulation.     

汽车铸件生产工时数理统计计算方法

采用多元非线性回归分析方法 ,对我国汽车铸造生产管理数据进行微机辅助分析 ,得出了铸件生产工时计算公式 ,编制了计算机辅助管理程序。     

新一代动三轴仪计算机数据采集与处理系统

在８０年代研制的动三轴仪基础上,采用现代计算机技术,实现了对动三轴试验全过程动应力、动应变和动孔压发展变化的实时采集、显示和数据文件在线存盘。不仅使数据处理过程全部自动化,且成功地解决了滞回圈等非规则曲线面积及莫尔圆公切线求解等一系列难题。     

双枝模糊集(Ⅲ)

提出双枝模糊集Ｓ的理论,本课题是［Ⅰ,Ⅱ］研究的继续．在单枝模糊集理论（Ｌ．Ａ．ＺａｄｅｈＦｕｚｚｙＳｅｔＴｈｅｏｒｙ）研究中,由于引进λ－截集Ｓλ的概念,便产生了单枝模糊集的并－普通分解定理［３］,交－普通分解定理［４］．［Ⅰ,Ⅱ］提出了双枝模糊集Ｓ,由于引进了λ－截集Ｓλ的概念,便产生了双枝模糊集Ｓ的并－普通分解定理,交－普通分解定理．人们自然提出这样的问题：双枝模糊集可以分解成若干个普通集Ｓλ;双枝模糊集Ｓ是否能分解成若干个模糊集Ｓα？本文的研究说明：双枝模糊集Ｓ可以分解成若干个模糊集Ｓα．（一个单枝模糊集Ａ也可以分解成若干个模糊集Ａα,但是在单枝模糊集理论中没有被人们去研究．）本文给出Ｓ的α－嵌入集Ｓα的概念,提出Ｓ的α－嵌入定理,Ｓ的α－嵌入模糊分解定理．     

双枝模糊集(Ⅱ)

提出双枝模糊集Ｓ的理论,是（Ｉ）研究的继续．提出双枝模糊集Ｓ的并－普通分解定理,交－普通分解定理．这些结论建立了双枝模糊集Ｓ与普通集Ｓλ之间的关系,这些结论为建立双枝模糊推理,双枝模糊控制作了理论准备．结论指出：（１）双枝模糊集Ｓ同时存在并－普通分解形式：Ｓ＝∪λ∈［－１,１］λＳλ和交－普通分解形式：Ｓ＝∩λ∈［－１,１］λＳλ;这两种分解形式是建立双枝模糊推理理论,双枝模糊控制理论的理论基础．（２）单枝模糊集Ａ（Ｌ．Ａ．ＺａｄｅｈＦｕｚｚｙＳｅｔＡ）的并－普通分解定理,交－普通分解定理是双枝模糊集Ｓ的并－普通分解定理,交－普通分解定理的特例．     

影响涂料印花增稠剂增稠及抗渗化性能的因素

讨论了反乳液聚合法合成涂料印花增稠剂时,影响聚合产物的抗渗化性能及增稠效果的主要因素。研究发现,提高聚合温度可以提高聚合产物的抗渗化性,但配制高粘度印花浆时对增稠效果不利,而在配制低粘度印花浆时则反之。降低交联单体用量有利于提高聚合产物的抗渗化性,并可提高聚合产物在配制较低粘度印花浆时的增稠效果。     

论原型结构设计的科学性和时代性

本文以日本文化式原型为基础,从原型的“以人为本”之设计原则,合理化简历化的修订方针,论述了原型法结构设计的科学性。同时以其“切展手法”和系列化多样化满足时装变化和服装业发展之需,论证了原型法服装结构设计的时代适应性。     

时装表演与音乐

时装表演是一门新兴的综合艺术,而时装表演中的音乐则起到引导表演的“灵魂”作用。木文试图从音乐在时装表演中的作用和时装表演中音乐的选配这两个问题的论述,阐明时装表演与音乐的关系,并指出要办好一台高质量的时装展示会,必须有音乐的默契配合。     

黄河下游防洪减灾效益分析

由于黄河多泥沙的特性和特殊的自然条件,黄河下游河道在历史上决口频繁。人民治黄５０年来,黄河下游的防洪减灾措施确保了黄淮海太平原的安全,取得了巨大的社会经济效益。,采用“实际发生年法”对黄河下游防洪减灾效益进行了分析。结果表明,人民治黄以来,黄河下游防洪工程减免大堤决口、减少滩地淹没、减少凌汛决口及河道淤积所取得的直接经济效益分析另３４００．１、６５．８、１２０．０、４５．０亿元,由于黄河问题的复杂