期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
经济系统预期行为的建模与仿真研究 被引量:2
1
作者 王正中 《复杂系统与复杂性科学》 EI CSCD 2004年第2期20-24,共5页
预决性是复杂系统动力学重要特征之一 ,复杂系统主动行为划分中 ,最基本的一类就是预期。这种预期都基于自己内心对外部世界认识的假设模型之上。介绍了经济系统主体预期行为的建模与仿真方法的研究与发展 ,包括外推非理性预期方法、理... 预决性是复杂系统动力学重要特征之一 ,复杂系统主动行为划分中 ,最基本的一类就是预期。这种预期都基于自己内心对外部世界认识的假设模型之上。介绍了经济系统主体预期行为的建模与仿真方法的研究与发展 ,包括外推非理性预期方法、理性预期方法、适应有限理性预期方法。讨论了存在的问题、应用前景和发展趋势。 展开更多
关键词 复杂系统动力学 预决性 经济系统 期行为 仿真 建模
下载PDF
Prediction of antigenic determinants of trichosanthin by molecular modeling
2
作者 HE YONG NING ZONG XIANG XIA +2 位作者 YIN WANG YONG YONG JI MING YEH (Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China)( Shanghai Institute of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China)(Corresp 《Cell Research》 SCIE CAS CSCD 1996年第2期93-100,共8页
The antigenic determinants of trichosanthin were predicted by molecular modeling. First, the threedimensional structure model of the antigen-binding fragment of anti-trichosanthin immunoglobulin E was built on the bas... The antigenic determinants of trichosanthin were predicted by molecular modeling. First, the threedimensional structure model of the antigen-binding fragment of anti-trichosanthin immunoglobulin E was built on the basis of its amino-acid sequence and the known three-dimensional structure of an antibody with similar sequence. Secondly, the preferable antigen-antibody interactions were obtained based on the known three-dimensional structure of trichosanthin and of the hypervariable regions of anti-trichosanthin immunoglobulin E. Two regions in the molecular surface of trichosanthin were found to form extensive interactions with the hypervariable regions of the antibody and have been predicted to be the possible antigenic determinants: one is composed of two polypeptide segments, Ile201-Glu210 and Ile225-Asp229, which are close to each other in the three-dimensional structure; and the other is the segment Lys173-Thr178. The former region seems to be the more reasonable antigenic determinant than the latter one. 展开更多
关键词 Antigenic determinants trichosanthin anti-trichosanthin immunoglobulin E molecular modeling
下载PDF
RESEARCH ON APPLICATION OF ARTIFICAL NEURAL NETWORK EXPERT SYSTEM IN DIAGNOSIS OF DAMAGE OF PRESTRESSED CONCERETE PILES AND BOLT 被引量:1
3
作者 来兴平 伍永平 +1 位作者 蔡美峰 肖昌龙 《Journal of Coal Science & Engineering(China)》 1999年第2期46-50,共5页
The expert system (ES) techology is combined with artificial neural network (ANN) theory and engineering experience. Based on the framework of artificial meural network, a BackPropagation is structured. Discuss the us... The expert system (ES) techology is combined with artificial neural network (ANN) theory and engineering experience. Based on the framework of artificial meural network, a BackPropagation is structured. Discuss the use of ANN for non-linear diagnosis of damage of prestressed bolt and prestressed concrete piles (PCP) during driving in rock underground engineering and civil engineering. IN terms of Chinese windows95 utilizes C+ + and AINET and XI-PLUS software, make it a reality. 展开更多
关键词 artificial meural network prestressed bolt non-linear diagnosis. underground engineering civil engineering
全文增补中
上一页 1 下一页 到第
使用帮助 返回顶部