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递阶算法     
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  hierarchical algorithm
     A hierarchical algorithm for downlink performance optimization in CDMA system
     CDMA系统下行链路性能优化的递阶算法研究
短句来源
     A Hierarchical Algorithm for Linear Programming of High Dimensionality in Port Management
     港口管理中高维线性规划问题的递阶算法
短句来源
     Double Loop Hierarchical Algorithm for Multiobjective Optimization Problems of Steady-state Large Scale Systems
     稳态大系统多目标优化的双环递阶算法
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     In this paper, an incidence prediction hierarchical algorithm of integrated system optimization and parameter estimation for nonlinear discrete dynamic large\|scale system is introduced.
     提出了一种非线性离散动态大系统系统优化与参数估计集成的关联预测递阶算法 .
短句来源
     This Paper develops a two-level hierarchical algorithm for discrete event dynamic system simulation based on decomposition coordination Principle for large scale systems.
     本文在大系统分解-协调原理的基础上提出了一种离散事件动态系统仿真的两级递阶算法
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  order algorithm
     A three order algorithm method for co-control system used to research and develop double coordinate measuring machine is presented. It includes task allocation,system construction,localization rule,control strategy and real time order algorithm.
     提出一种适用于研究和开发双坐标测量机的三级递阶协调控制系统,包括各级任务分配、系统构成、定位规则、控制策略及实时递阶算法
短句来源
  hierarchical algorithms
     Hierarchical Algorithms of Large-Scale Systems with Nonseparable Multiobjective
     不可分多目标大系统的递阶算法
短句来源
     The DISOPE Incidence Prediction Hierarchical Algorithms of Nonlinear Discrete Dynamic Large\|Scale System
     非线性离散动态大系统的DISOPE关联预测递阶算法
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  “递阶算法”译为未确定词的双语例句
     Improvement of Hierachical Algorithm for Large Scale System Dynamic Programming
     大系统优化的动态规划递阶算法改进
短句来源
     AN APPROACH OF DYNAMIC PROGRAMMING AND HIERARCHY FOR LARGE-SCALE SYSTEM OPTIMUM
     大系统优化的动态规划递阶算法
短句来源
     ORDER RECURSIVE METHOD OF LEAST SQUARE SYSTEM IDENTIFICATION AND ITS APPLICATION TO FLIGHT TEST
     一种系统辨识的递阶算法及其在飞机颤振试飞中的应用
短句来源
     An approach of hierachy for large-scale system control optimum
     大系统最优控制的递阶算法
短句来源
     The main research results are as follows:(1) The Multi-layer Recursive Time Series Settlement Prediciton Model, which is based on time series model and multi-layer recursive theory, is put forward to enhance the prediction precision of the settlement predication.
     (1) 根据时间序列模型和多层递阶算法原理,建立新的沉降预测模型——多层递阶时间序列预测模型,提高了沉降预测的精度;
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  hierarchical algorithm
A hierarchical algorithm for predicting the linear viscoelastic properties of polymer melts with long-chain branching
      
A hierarchical algorithm for making sparse matrices sparser
      
Cluster analysis, utilizing both a hierarchical algorithm and self-organizing map, resulted in very similar gene clusters.
      
HYPER: A hierarchical algorithm for automatic determination of protein dihedral-angle constraints and stereospecific CβH2 resona
      
This paper will report a new, non-hierarchical algorithm called the V-Cluster (V stands for vector) Algorithm.
      
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  order algorithm
A second-order algorithm of weak improvement for an optimal control problem with a free right end is considered.
      
The nondifferentiable nature of the optimization problems which arise in this formulation is coped with using a first-order algorithm combined with approximation concepts.
      
Numerical investigation verifies the superiority of the higher-order algorithm via several unbounded radiation and scattering spherical problems.
      
The n5-order algorithm for the transformation of the quantummechanical four center integrals is analyzed.
      
It is achieved by expressing the numerical amplification matrix of higher-order algorithm as a linear combination of the basic amplification matrices evaluated at selected instances of time.
      
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  hierarchical algorithms
Hierarchical algorithms for discounted and weighted Markov decision processes
      
Orders of magnitude of space and time can be saved if hierarchical algorithms are used for automatic synthesis and analysis of regular VLSI circuits.
      
Hierarchical algorithms are evaluated by their ability to discover high density regions in a population, and complete linkage hopelessly fails; the others don't do too well either.
      
This paper studies the random indexed dendograms produced by agglomerative hierarchical algorithms under the non-classifiability hypothesis of independent identically distributed (i.i.d.) dissimilarities.
      
Most approaches use hierarchical clustering algorithms, non-hierarchical algorithms (for examples, K-mean and K-nearest neighbor), and other similar methods (for examples, the Self-Organization Mapping (SOM) and the Support Vector Machine (SVM)).
      
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The four -level algorithm given in this paper is a hierarchical algorithm which is developed from the three-level costate prediction method of Hassan-Singh for solving large-scale non-linear dynamical system problems. In order to obtain the more reasonable prediction for the trajectories x*, u*, the main idea of the Kalman filter is used to modify the original prediction algorithm. In practical applications, this modified four-level algorithm does appear to provide more excellent conver-gence than the three-level...

The four -level algorithm given in this paper is a hierarchical algorithm which is developed from the three-level costate prediction method of Hassan-Singh for solving large-scale non-linear dynamical system problems. In order to obtain the more reasonable prediction for the trajectories x*, u*, the main idea of the Kalman filter is used to modify the original prediction algorithm. In practical applications, this modified four-level algorithm does appear to provide more excellent conver-gence than the three-level algorithm. Finally, a proof of the convergence of this algorithm is given in the appendix.

本文提出的四级算法是一种由Hassan-Singh的三级共态(?)法发展起来的、解大规模非线性动态系统问题的递阶算法。为了获得更合理的对轨线的预估值X~*、u~*,运用Kalman滤波的思想改进了原来的预估算法。在实际应用中,这种改进的四级算法比三级算法表现出更好的收敛性能。最后在附录里对这种算法的收敛性作了证明。

By using the decomposition-coordination principle,a new hierarchical algorithm is proposed to cope with linear programming of high dimensiona -lity in port management.Under the condition of high dimensionality,it converges faster than the common simplex method,while its calculating work and storage space required are reduced greatly.Compared with other decomposition algorithm,it does not demand the original linear program ming to have a particular structure and it can be used to solve linear pro- gramming problems...

By using the decomposition-coordination principle,a new hierarchical algorithm is proposed to cope with linear programming of high dimensiona -lity in port management.Under the condition of high dimensionality,it converges faster than the common simplex method,while its calculating work and storage space required are reduced greatly.Compared with other decomposition algorithm,it does not demand the original linear program ming to have a particular structure and it can be used to solve linear pro- gramming problems of high dimensionality with compact interrelation.

针对港口调度中所产生的高维线性规划问题,本文根据大系统分解协调理论,提出了一种新的递阶算法。它的收敛速度在高维情况下优于普通的单纯形法,同时计算量和存贮量均大大减少。本算法对原问题的形式无特殊要求,可推广求解一般的高维相关性强的线性规划问题。

The optimization of multi-fuel boiler operation can save a lot of energy in an in-tegrated iron and steel works.But the identification of efficiency curves of the boil-ers is a complicated and difficult nonlinear least-squares problem.Considering for ref-erence the hierarchical algorithm for large scale systems,we have developed here anew two-level hierarchical identification algorithm which can transform the nonlinearleast-squares problem into a two-level linear least-squares problem by interaction pre-diction...

The optimization of multi-fuel boiler operation can save a lot of energy in an in-tegrated iron and steel works.But the identification of efficiency curves of the boil-ers is a complicated and difficult nonlinear least-squares problem.Considering for ref-erence the hierarchical algorithm for large scale systems,we have developed here anew two-level hierarchical identification algorithm which can transform the nonlinearleast-squares problem into a two-level linear least-squares problem by interaction pre-diction approach.Simulation results have proved that this algorithm is a very efficientand useful tool.

多种燃料锅炉的运行优化是钢铁联合企业节约能源的一个主要方法,但是这种锅炉的效率曲线的辨识却是一个复杂而困难的非线性最小二乘问题。借鉴大系统递阶算法的思想,本文提出了一种新的两级递阶辨识的算法。这种算法通过预估关联量,将非线性最小二乘问题转化为两级线性最小二乘问题。实验的结果证明:这种算法是一种有效的算法。

 
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