Samples Selection for Artificial Neural Network Training in Preliminary Structural Design

An artificial neural network (ANN) is applied in the preliminary structural design of reticulated shells. Major efforts are made to enhance the generalization ability of networks through well-selected training samples. Number-theoretic methods (NTMs) are adopted to generate samples with low discrepancy, i.e.uniformly scattered in the domain, where discrepancy is a quantitative measurement of the uniformity. The discrepancy of the NTM-based sample set is 1/6-1/7 that of samples with equal spacing. In a case study,networks trained by NTM-based samples are compared with those trained by equal-spaced samples in generalizing performance. The results show that both the computational precision and stability of the former ANNs are more satisfactory than those of the latter. It is concluded that the flexibility of ANNs in generalizing can be effectively increased by use of uniformly distributed training samples rather than simply piling data.More reliable uniformity should be obtained, however, through NTMs instead of equal-spaced samples.     

Evolution of Weighted Networks by Duplication-Divergence Mechanism

The duplication and divergence process is ubiquitous in nature and man-made networks. Motivated by the duplication-divergence mechanism which depicts the growth of protein networks, we propose a weighted network model in which topological evolution is coupled with weight dynamics. Large scale numerical results indicate that our model can naturally generate networks with power-law-like distributions of degree, strength and weight. The degree-strength correlation is illustrated as well. These properties are in agreement well with empirical data observed in real-world systems. Furthermore, by altering the retention probability δ, weighted, structured exponential networks are realized.     

液化气罐焊接质量的控制

本文对液化气罐体焊缝和热影响区在高温冶金反应、结晶动力学及热循环的作用下,产生的一次结晶和二次结晶的组织形态、性能特征作了分析。实践表明,焊接夹杂和气孔是引起罐体焊缝裂纹或导致爆炸的主要原因。为此,作者提出,为了保证液化气罐焊接质量,必须从冶金和工艺两方面采取有效措施,迅速建立焊接质量监控系统,对焊接检验手段要进一步完善。     

学习生物学的记忆方法

帮助学生掌握与运用记忆的方法,是教学的一项重要任务,要提高学习生物学的效率,应该学会良好的记忆方法.学习高中《生物》的有效记忆方法有联想记忆法、观点记忆法、排除记忆法、突出重点记忆法、应用记忆法、比较记忆法等.     

落球法测液体粘度实验公式中两补正系数的实验求法

当半径为r0的光滑小圆球,以速度v在均匀的无限宽广的液体中运动时,若速度不大,球也很小,在液体中不产生涡流的情况下,根据斯托克斯公式,球在液体中所受到的阻力F为F=6πηvr (1)式中η为液体的粘度.     

YBa2Cu3O6+x光电导效应的研究进展

本就高温超导体YB2Cu3O6 x的光电导效应的研究现状进行了介绍，并就机理解释及未来的研究工作做了简单的评述。     

空心材料导热性能预测研究

本文建立了一种预测空心材料导热性的方法。研究了空习材料的导热性。用柱形空心材料分析了体分比和孔洞的排列方式对整体材料导热性的影响，用圆柱形，方柱形空心材料和含裂纹材料，分析了空心形状对材料导热性的影响。同他人的实验结果和某些现有的理论模型比较表明，本文方法是有效的。本文的结果很好地解释实验结果。     

一个包含Smarandache函数的方程

对于任意正整数n,我们用S(n)表示Smarandache函数,即S(n)=min{m:n|m!}.本文的主要目的是运用初等方法研究方程∑_(d|n)S(d)=n的可解性,并给出它的所有正整数解.     

低通量慢中子对Bi系超导体的辐照效应

本文研究低通量慢中子对Bi系超导体的辐照效应。实验结果表明:(1)Bi系超导体在适量慢中子辐照后,临界电流密度J_c和零电阻温度T_c0都有不同程度提高;(2)低通量慢中子和高通量快中子对Bi系超导体具有相似的辐照效应。 关键词：     

对一本习题全解的几点建议

《线性代数·复变函数·概率统计习题全解》的出版[1] ,对大学理·工本科非数学专业学生来说 ,无疑是一本很好的数学学习辅导书 .由于当今对人才培养模式的新变化 ,考研及后续专业课对大学数学有较高的要求 ,而大学数学课时少 ,教师对“教材内容无法全面展开” ,学生对“教材内容常常食而不化” ,此书起到了化解这一矛盾的协调作用 .学生通过不断地反复自学、查阅本书 ,可弥补以上不足 ,打好数学底子 ,因此它又是一本很好的工具书 .正因此书的重要作用 ,对习题全解也应提出更高要求 ,它应力求方法简便、过程简炼 ,而且和所在章节内容紧密对…