Zhang, K. "Representation Of Spatial Orientation By The Intrinsic Dynamics Of The Head-Direction Cell Ensemble: A Theory." J.Neurosci. 16 ( 1996): 2112-26. 著,《神经科学期刊》16(1996):2112-26,〈头方向细胞整体的内部动力学的空间方向表示:理论〉。
Iterative weighted cluster ensemble model based on rough set theory 基于粗糙集理论的聚类融合加权迭代模型
Web Document Ensemble Clustering Based on Adaptive Resonance Theory 基于自适应谐振理论的Web文档聚类集成方法
By making use of the quantum canonic ensemble theory, the quantum fluctuations of a mesoscopic RLC circuit in the mixed state have been studied. 利用量子正则系综理论研究了介观RLC电路在混合态下的量子涨落。
The effects due to the interaction and finite size are given simultaneously by using the sum method for the grand canonical ensemble and mean field theory. 利用巨正则系综的求和方法与平均场理论,给出了有限粒子数与原子间相互作用对系统热力学性质的共同修正;
On application of the general ensemble theory, we have derived the thermodynamic formulas for systems with variable particle mass. 利用系综理论的一般原理,我们推导了变质量粒子系统的统计热力学公式。
Under canonical ensemble theory, their finite temperature specific heat capacity is calculated. 采用正则系综理论,计算出核的有限温度比热容。
By using ensemble average theory, we have calculated the fluctuation of the optical field intensity which was caused by every laser pulse in ringdown cavity of ringdown absorption spectrum, and the calculated result was also discussed. 采用系综平均理论,计算了脉冲激光作为激发光源时,激光振铃吸收光谱技术中振铃腔内每个脉冲引起的光场涨落,并对计算结果进行了讨论。
Observational Learning Algorithm ( OLA) is an ensemble method based on social learning theory. 观察学习是一种基于社会学习理论的集成学习方法,以往对其研究集中于同构模式。
On the Unity of Ensemble Theory 论系综理论的统一性
A brief review is given of the development history of the Ensemble Kalman Filter ( EnKF) assimilation method and its essential theory. A numerical test was conducted using the one-dimensional nonlinear wave equation. 简要回顾了集合卡尔曼滤波(EnKF:EnsembleKalmanFilter)数据同化方法的发展历史,并介绍了EnKF数据同化方法的基本原理,利用一维非线性波动方程进行了数值试验。
Based on the present methods, fully knowing about the research methods at relevant field, starting with analytical method, put forward the ensemble theory framework of FSA, emphasize on the analysis of the technological process for hazard identification and risk assessment. 从分析方法的角度入手,对相关领域的研究方法作了充分的了解,提出了船舶综合安全评估的总体理论框架,着重分析了危险识别与风险评估的过程流程。
Exploration for the Formula of the Ensemble Theory in Teaching 系综理论教学中的探究方法
Ensemble Distribution Quasi-Thermodynamical Theory of Fluctuation and Small Fluctuation Approximation 系综分布和涨落的准热力学理论及小涨落近似
The application of ensemble theory under the conditions of oceanic environment-& statistical explanation for the abundance of chemical elements in the ocean 系综原理在海洋环境条件下的应用&海洋中化学元素丰度的统计解释
The ensemble theory and the quasi-thermodynamical theory of fluctuations 系综理论和涨落的准热力学理论
Statistic Ensemble Theory of Superconductivity in Small Metallic Grains 金属小粒子超导电性的统计系综理论
It gives account of the Ensemble Transform Kalman Filter theory and some issues related to this method. 重点介绍了集合变换卡尔曼滤波方法及其相关的一些问题。
The results indicate that double wave function can be applied to describe the states of single particle, and the ordinary quantum mechanical description, as a statistical average of ensemble, is included in the double wave quantum theory. 结果表明,双波函数描述单个粒子的运动状态,并将通常的量子力学描述结果作为系综统计平均值包含在其中。
Ensemble data assimilation is at the intersection of ensemble forecasting methodologies and relatively independently developed data assimilation based on the theory of statistical estimation. 集合资料同化是依赖于统计理论,集合预报方法和资料同化方法的有机结合。
The ensemble Kalman filter theory and method development 关于集合Kalman滤波的理论和方法的发展
Owing to this, we proposed a novel neural network ensemble system based on Chinese vowel mapping technique using the ensemble learning theory. 对此,结合集成学习理论,我们提出了基于汉语元音映射的神经网络集成说话人识别方法。
Then the performance of the algorithm proposed here can be enhanced by adopting Bagging ensemble method. 2. Introduce the theory of Good-Point-Set and its advantage on selecting weight of neurons. 介绍了佳点集理论和它在获取权值时的优越性。
On these bases, the present author investigates the structural properties of a model fluid dictated by an effective inter-particle oscillatory potential by grand canonical ensemble Monte Carlo ( GCEMC) simulation and classical density functional theory. 在此基础上,采用巨正则系综MonteCarlo模拟(GCEMC)和经典密度泛函理论来研究粒子间具有有效振荡势的模型流体的结构特性。
The statistical learning theory and the principle of Support Vector Machine ( SVM) are introduced, the main SVM-based multi-class classification methods are analysed, and the ensemble learning theory is discussed. 对机器学习中的统计学习理论和支持向量机原理进行了介绍,对目前支持向量机的多类分类方法进行了归纳和分析,并介绍了集成学习的理论原理。
In the thesis, we focus on an ensemble learning method based on emergence theory-Min-Max Modular Support Vector Machine ( M3-SVM). 本文研究的是基于涌现理论的集成学习方法&最小最大模块化支持向量机(M3-SVM)。
Ensemble interpretation also adheres to the view of probabilistic causality, but believes that quantum theory is a description of the ensemble based on statistical interpretation. It does not discuss either separate individual or single measurement and avoids the issue of wave function collapse. 系综解释同样坚持概率因果观,但统计解释认为,量子理论是对系综的描述,不讨论单个个体和单次测量,回避了波函数塌缩问题。
The three models are based upon the equivalent ensemble theory. 这三个模型都是基于系综理论。
Firstly, we systematically introduce the present situation of credit risk assessment and support vector machine ( SVM) classification and as well as relevant theoretical basis, such as the statistical learning theory, support vector machine ( SVM) theory, ensemble learning theory. 首先系统阐述了信用风险评价的现状、支持向量机分类研究的现状,以及相关的理论基础。