用混合编码遗传算法实现匹配追踪算法

在分析总结浮点数编码和格雷码编码各自特点的基础上,提出了一种用浮点数和格雷码混合编码的遗传算法来实现匹配追踪算法.该算法有机结合了遗传算法和匹配追踪算法的优点,不仅能够得到较高精度的最佳匹配参数,而且有效地降低了计算量,克服了匹配追踪算法由于计算量太大而不能广泛应用的缺点.计算机仿真结果表明,该算法提取相位的精度和提取时间均有明显改善,证实了该算法的准确性.最后,将该算法应用于转子实验台的冲击信号特征提取中,提取结果证明了它的实际应用价值.     

一种求解价格控制问题的混合遗传算法

针对价格控制问题提出了一种将遗传算法与单纯形法相结合形成的混合遗传算法，在分析了价格控制问题具体特点的基础上，对遗传算法在编码、约束处理、下层问题无解处理等方面进行改进，最后进行了数值模拟，模拟结果验证了该算法具有较高的精度且简便易行。     

风洞实验中多通道测压管路系统的参数分析

为了掌握风洞实验中多通道测压管路系统的特性，基于耗散模型，分析了影响系统频率响应函数的各个参数，总结了多通道管路系统频响函数的定性规律，并指出在常用的几何尺寸范围内，影响频响函数的因素主要有PVC管的长度、内径和限制器的尺寸及位置，为设计多通道测压管路系统提供了依据．     

Diagnosis of prostate cancer by quantitative analysis of 3DMRSI data: A new model

Three-dimensional magnetic resonance spectroscopic imaging (3DMRSI) is helpful to identify prostate cancer (PC)from benign prostate hyperplasia (BPH) and to show the distribution of tumor infiltration. Combined with the (Cho + Cre)/Cit ratio, the z-score model can effectively discriminate prostate cancer from stromal benign prostate hyperplasia (sBPH) and detect small malignant lesions (SML).     

Atomic-scale computer simulation for early precipitation process of Ni75AlxV25-x alloy with intermediate Al composition

The microscopic phase-field approach is applied to model the early precipitation process of Ni75AlxV25-x alloy. Without any prior assumptions, this model can be used to simulate the temporal evolution of arbitrary morphologies and microstructures on atomic scale. By simulating the atomic pictures, and calculating the order parameters and volume fraction of the θ (Ni3V) and γ'(Ni3Al) ordered phases, we study Ni75AlxV25-x alloys with Al composition of 0.05, 0. 053 and 0. 055 (atom fraction). Our calculated results show that,for these alloys, θ and γ' phases precipitate at the same time; with the increase of Al content, the amount of γ' phase increases and that of θ phase decreases; the precipitation characteristic of γ' phase transforms from Non-Classical Nucleation and Growth (NCNG) to Congruent Ordering Spinodal Decomposition (CO SD) gradually; otherwise, the precipitation characteristic of θ phase transforms from Congruent Ordering Spinodal Decomposition (CO SD) to Non-Classical Nucleation and Growth (NCNG) mechanism gradually. Both θ and γ' phases have undergone the transition process of mixture precipitation mechanism characterized by both NCNG and CO SD mechanisms. No incontinuous transition of precipitation mechanism has been found.     

A template of rat brain based on fMRI T*2 imaging

The development of functional magnetic resonance imaging (fMRI) technology has made it possible to carry out functional brain imaging experiments in small animals. Usually, group data is required to form the assessment of population, which can not only increase the sensitivity of the overall experiment, but also allow the generalization of the conclusion to the whole population. In order to average the signals of functional brain images from different subjects, it is necessary to put all the mapping images into the same standard space (template image). However, up to now, most animal brain templates remain unavailable and it must be done by ourselves. In this study, a template image based on the brains of eight male Wistar rats is obtained, and it is successfully used in our present Alzheimer disease (AD)-like rat model studies as template for spatially normalizing images to the same stereotaxical space. The fMRI results processed with statistical parametric mapping (SPM99) software are in agreement with the results from immunohistochemical experiment, which proves that this method is universally applicable to the pathologic models of other small animals and to human brain lesion studies.     

Computational fluid dynamics for dense gas-solid fluidized beds

Many computational fluid dynamics (CFD) models for describing the hydrodynamics of dense gas-solid flows in fluidized beds have been put forward in the past few decades. These models treat the solid phase as continuum or discrete particles, which leads to Eulerian-Eulerian or Eulerian-Lagrangian formulations, respectively. Different governing equations and closure relations essentially result from an insufficient understanding of the complex gas?particle and particle?particle interactions for gas?solid flows. The current status of these models is discussed briefly in this paper. All the approaches in the literature modify only the solid phase momentum balance equation introducing various forms of the solid phase stress tensor and the solid phase pressure drop in the Eulerian-Eulerian models. Taking them into consideration, a new model for predicting the fluid behavior of dense gas?solid flows in fluidized beds has been developed, which contains new terms in both the particle and gas phase momentum balance equations and requires only the use of an experimental drag force correlation. Several results are shown to verify the model’s reliability, which include the homogeneous fluidization of Geldart type A particles, the bubbling and jetting fluidization of Geldart type B particles in rectangular beds, and fluid dynamics in a complicated geometry for a bubbling?bed of a fast internally circulating fluidized?bed biomass gasifier.     

环境素养评价体系与模型的构建及实证分析

结合国内外环境素养的研究成果 ,指出环境素养的概念应主要包括环境知识、环境行为和环境意识 3方面 ,并具有 3个特征·以此为基础 ,注意相关性、简洁性、可操作性等原则 ,构建出 3级 4层的环境素养评价指标体系和对应的数学评价模型 ,并进行了实证分析·该文有助于人们重视环境素养及其现代研究方法的构建与应用 ,增进交流 ,促进环境素养的提高·     

基于竞争神经网络的ABS路面辨识

在传统的防抱死系统中,由于没有额外的传感器测试更多的参数,以及路面的不平度、信号的干扰等原因,至使路面辨识非常困难·针对以上问题,通过对整车制动模型和ABS制动模型的研究,建立了基于竞争神经网络的ABS路面辨识模型,此路面辨识模型是通过对标准信号进行反复学习记忆,用非线性映射方法进行特征抽取并存储于网络的各节点上·工作时,当输入信号存在变形或噪声时,该模型通过联想记忆对输入信号进行聚类分析,得出正确的判断·实验表明,该辨识过程是一种高层次的认知过程且便于批量生产、升级、更新和维护·     

基于模型库的冷连轧过程控制仿真支撑系统

结合当前实际应用对改善仿真建模过程的需求,以简化专业领域仿真过程、提高仿真建模效率为目的,提出了以模型重用技术为基础,基于领域模型库的仿真支撑系统的思想,给出了仿真支撑系统总体结构设计方案,并针对带钢冷连轧过程优化控制系统,就标准仿真流程框架的提取、层次化领域模型库的构建及支撑系统运行机制的实现等关键问题进行了探讨·应用实例说明本文提出的仿真支撑系统总体框架及运行机制是可行的·