基于灰色PSO-ANFIS模型的船舶横摇运动预报分析

为了准确高效的预测船舶在波浪中的航行状态以保证人员、货物和船舶的安全,提出了一种基于灰色模型粒子群优化算法的自适应神经模糊推理系统(Grey Particle Swarm Optimization-Adaptive Neural-fuzzy Inference System, GPSO -ANFIS)。GPSO-ANFIS预测模型使用模糊C均值聚类算法对输入样本进行聚类分析,得到模糊规则数量并建立神经模糊推理系统,再使用粒子群优化算法对建立的预测系统进行优化训练,从而得到最优的预测系统模型。其中灰色模型用于横摇数据的预处理,以便削弱横摇状态中的非线性影响因素。最后通过实船“育鲲”轮的横摇数据进行仿真实验,实验结果验证了GPSO-ANFIS模型的实用性和可行性,具有较高的预测精度。并为船舶航行智能化提供了一种有价值的理论依据。     

Exemplification and the use-values of cases and case studies

This paper provides an account of the ‘use-value’ of case-based research by showing how social scientists exploit cases, and case studies, in a variety of practices of inference and extension. The critical basis for making such extensions relies on the power of a case, or the account given of a case (the case-study account), to exemplify certain features of the social world in ways which prove valuable for further analysis: either of the same case, or in many domains beyond the original case study. Framing use-values in terms of exemplification compares favourably with understanding reasoning beyond the case either as a form of analogical reasoning or in taking cases as experimentable objects.     

The ecological rationality of explanatory reasoning

There is growing evidence that explanatory considerations influence how people change their degrees of belief in light of new information. Recent studies indicate that this influence is systematic and may result from people’s following a probabilistic update rule. While formally very similar to Bayes’ rule, the rule or rules people appear to follow are different from, and inconsistent with, that better-known update rule. This raises the question of the normative status of those updating procedures. Is the role explanation plays in people’s updating their degrees of belief a bias? Or are people right to update on the basis of explanatory considerations, in that this offers benefits that could not be had otherwise? Various philosophers have argued that any reasoning at deviance with Bayesian principles is to be rejected, and so explanatory reasoning, insofar as it deviates from Bayes’ rule, can only be fallacious. We challenge this claim by showing how the kind of explanation-based update rules to which people seem to adhere make it easier to strike the best balance between being fast learners and being accurate learners. Borrowing from the literature on ecological rationality, we argue that what counts as the best balance is intrinsically context-sensitive, and that a main advantage of explanatory update rules is that, unlike Bayes’ rule, they have an adjustable parameter which can be fine-tuned per context. The main methodology to be used is agent-based optimization, which also allows us to take an evolutionary perspective on explanatory reasoning.     

设计磁耦合并联谐振变换器的新方法

对磁耦合并联谐振变换器进行状态空间分析,可导出电路的时域稳志解,并以此作力设计曲线的依据,提出一种简便、优化的设计方案。电路分析中,考虑了磁耦合器件寄生参数的影响,使设计方案更为充分有效。     

一种两平移一转动新型并联机构的运动学分析

提出了一种能够实现两维移动和一维转动的空间3自由度并联机构,其固定平台与运动平台通过1个PU^支链、2个CU^支链相连接。基于该机构运动约束方程,得到位置反解、正解和速度方程的封闭表达式。最后,应用实例验证了理论分析的正确性。     

一种新型具有三维移动自由度并联机器人运动学分析

本文提出一种三自由度移动平台式并联机器人,这种机器人运动平台能够实现三维移动,具有较大的工作空间和较少的奇异位形,位置正反解均为封闭解     

ATM协议处理中CRC的并行实现

在传统的串行CRC电路的基础上推导出并行的CRC算法,并以ATM协议中的CRC产生多项式为例,在MAX PLUS Ⅱ环境中对该算法进行模拟,分析了并行CRC的性能。     

并行运算策略在同步发电机任务调度中的应用

本文以同步发电机为研究对象,通过对模型系统结构的构建和分割,建立起数学模型仿真的任务调度图,并结合动态负载平衡调度策略,进行了同步发电机的任务调度,通过对并行运算的加速比和并行效率进行分析,从而验证了并行运算在同步发电机任务调度仿真中应用的可行性。     

基于WCF架构的DEM数据并行绘制

在计算机集群上,采用Windows通信基础(WCF)架构,实现大范围DEM数据的并行绘制.根据控制节点的任务分配策略对集群中各服务器进行任务分配;服务端采用WCF的任务并发模式,对控制节点分配的任务直接分发给服务实例,无需放到消息队列中进行等待,以此提高集群对DEM数据的并行绘制效率.通过对不同数据量的DEM数据进行集群的并行绘制测试,得出绘制加速比随着数据量的增加而增加的结论,这对于大数据量的DEM数据的并行处理具有重要意义.