Source Term Identification of Heat Conduction ( Convection-diffusion) Equation by Particle Swarm Optimization Algorithm 热传导(对流-扩散)方程源项识别的粒子群优化算法
Exact identification of damping and frequency based on a particle swarm optimization algorithm 利用粒子群优化算法实现阻尼比和频率的精确识别
Structural damage identification based on particle swarm optimization model and BP network 基于微粒群算法和BP网络的结构损伤识别
Identification method of gas-liquid two-phase flow pattern based on image contour feature and particle swarm optimized neural network 基于图像轮廓特征和粒子群优化神经网络的气液两相流流型识别
Parameter Identification of Permanent Magnet Synchronous Motors Using Improved Particle Swarm Optimization 改进粒子群算法在永磁同步电动机参数识别中的应用
Delay Identification in Time-delay Dynamic System Using Particle Swarm Optimizer 基于粒子群算法的时滞动力学系统的时滞辨识
A structural damage identification method based on the support vector machine and the particle swarm algorithm was proposed. 为了有效地进行结构的损伤识别,提出了一种基于支持向量机和粒子群算法的结构损伤识别方法。
Preparation and identification of a novel particle vaccine based on pTEM-8 and its ability to stimulate CTL cytotoxic activity 基于TEM-8新型颗粒性疫苗的制备、鉴定和体外激发CTL杀伤活性的研究
Parameter identification of water quality model based on chaotic particle swarm optimization 采用混沌粒子群优化算法的水质模型参数辨识
Identification of crossing probability of the same particle in laser dual foci technique& a discus-sion on a new experimental method for turbulent diffusion 激光双焦点测速中同一粒子的判别&一种研究气流湍流新方法的探讨
Identification of human semen stain by the latex particle agglutination inhibition test 用胶乳凝集抑制试验鉴定人类精斑
An experimental study of several types of self-designed micro-particle and micro-quantity solid-particle feeder has resulted in the identification of micro-quantity feeding rod types suitable for materials of different particle diameters. 对自行设计的几种型式微细微量固体颗粒加料器进行试验研究,得出适于物料不同颗料直径下小流量的加料杆型式。
The construction, particle identification principle and energy calibration method of new generation multidetector are described. In the particle identification, three methods are presented: phoswich fast-slow composition, Δ E-E telescope and CsI fast-slow identification matrix. 本文主要描述了新一代多重探测器的组成结构、粒子鉴别原理和能量定标方法,在粒子鉴别中,详细介绍了利用phoswich快慢成分△E-E望远镜和CsI快慢鉴别图三种方法。
Parameter identification of constitutive model for hard rock under high in-situ stress condition using particle swarm optimization algorithm 基于粒子群优化算法的高地应力条件下硬岩本构模型的参数辨识
Attribute identification of the smoke based on particle scatterance from the aerosol particle 基于粒子受激散射的烟与气溶胶粒子属性识别
Generator parameter identification based on extended particle swarm optimization method 基于扩展粒子群优化算法的同步发电机参数辨识
Novel blind identification and equalization new method based on particle filter 基于粒子滤波器的盲辨识和盲均衡新方法
Identification and Expression of the HBV Particle Antigen in Transgenic Tomato Plants 乙型肝炎病毒颗粒性抗原转基因番茄植株的构建及鉴定
Research of Out-of-focus Image Restoration& Micro-crack Identification System Based on DSP of the Automatic Magnetic Particle Testing System 磁粉探伤系统散焦图像复原暨DSP微裂纹图像识别系统的研究
Thus, not only the identification problem of the crossing probability of the same particle is solved but also a new method of studying turbulence from the Lagrangian view point is suggested. 这样,解决了激光双焦点测速中同一粒子的判别问题而且对从拉格朗日观点研究湍流扩散提供了一种新的手段。
Identification of crude drug pollen particle in common Chinese herbal flowers 常用花类中药花粉粒的鉴别
The out-of-focus radius is proposed to evaluate quality of the restored image. Simulation results on synthetic and real images demonstrate that the restoration method satisfies the requirement of crack identification for magnetic particle testing system. 通过对模拟和真实图像数据的仿真,表明该复原方法能够实现散焦磁痕图像复原,符合磁粉探伤系统的对裂纹识别要求。
Identification of phase composition of a single microspherical particle from uraniferous lignite ash by physical methods 用物理方法对煤灰中含铀球形微粒物相组成的鉴定
The problems of nonlinear system identification can be viewed as optimization problems in parameter space, and then the particle swarm optimization algorithm is used to search the parameter space concurrently and efficiently as to find the optimal estimation of the system parameters. 首先将非线性系统的辨识问题转化为参数空间上的优化问题,然后利用粒子群优化算法对整个参数空间进行高效并行搜索以获得系统参数的最优估计。
With the introduction of the theory of fractal geometry, and the computer image processing technology development, it makes quantitative analysis and automatic identification of wear particle become possible. 随着分形几何的引入和计算机图像处理技术的发展,铁谱磨粒的定量分析与自动识别成为可能。
In our project we choose the template matching algorithm for identification and particle filter algorithm for tracking. 本课题选择相对容易实现的模板匹配识别算法和鲁棒性较好的粒子滤波跟踪算法。
The traditional BP neural network is prone to fall to local optimality, to a certain extent, affecting the performance of the tongue shape identification system. Therefore Particle Swarm Optimization is introduced to traditional BP neural network learning algorithm to improve it. 为了解决传统BP神经网络容易陷入局部最优,并在一定程度上影响到舌形分类效果的问题,引入微粒群算法来优化BP神经网络,实现分类算法。
The damage for minor damage cantilever plate identification show that the improved particle swarm optimization algorithm for single damage and more damage identification results are satisfactory. 本文提出了基于改进粒子群算法的结构损伤检测方法,对轻微损伤悬臂板进行了损伤识别,结果表明,改进粒子群算法对单损伤和多损伤的识别结果都令人满意。
Based on FOG ARIMA modeling method, the research combines ARIMA model identification with FOG state estimation, constructs a nonlinear filtering FOG ARIMA model and puts forward a FOG ARIMA model identification method based on particle filtering. 在光纤陀螺ARIMA建模方法的基础上,将光纤陀螺的ARIMA模型辨识和状态估计相结合,构建了光纤陀螺的ARIMA非线性滤波模型,研究并提出了基于粒子滤波的光纤陀螺ARIMA模型辨识方法。
The basic idea behind the proposed method is that the identification is converted to an on-line optimization of nonlinear functions, and then the hybrid particle swarm optimization algorithm is used to find the optimal estimation of the time-varying parameters. 方法的实质_是将时变动态系统的辨识问题转化为非线性函数的在线优化问题,然后利用混合粒子群优化算法获得时变参数的最优估计。