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small set     
相关语句
  小类别
     Small Set Handwritten Chinese Character Recognition Based on Integration RBF Neural Network
     基于集成RBF神经网络的小类别手写体汉字识别系统
短句来源
     Small Set Chinese Character and Digit Recognition Based on Similarity Measure of Fuzzy Model
     基于模糊模型相似测量的小类别数汉字及数字识别
短句来源
     SMALL SET HANDWRITTEN CHINESE CHARACTER RECOGNITION
     小类别数手写汉字识别
短句来源
      This paper presents a method to recognize digit and small set and Multi-font Chinese character based on similarity measure of Fuzzy Model.
     文章提出了一种基于模糊相似测量的小类别数多字体汉字及数字识别方法.
短句来源
     The experiments show this method is effective when used for small set Chinese character and digit recognition.
     实验表明,该方法用于小类别数多字体汉字及数字识别的效果良好.
短句来源
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  小集合
     Implementation of Small Set of Kasami Sequences Spreading Code Generator with FPGA
     Kasami小集合序列扩频码发生器的FPGA实现
短句来源
     Gold sequences and Kasami small set sequences are in common.
     常用的复合码主要有Gold序列和Kasami小集合序列。
短句来源
     We compare with the Gold sequence and Kasami small set and explain how to advance the generating method of spreading sequence.
     并与Gold码、Kasami小集合序列码进行了比较分析 ,进一步拓展了扩频码的生成方法 .
短句来源
     The algorithm adopts iterative method,the cascade No sequences with any period can be constructed quickly by using cascade GMW sequences and shift sequences of the small set of Kasami sequences. It is easy for understanding and implementing.
     该算法采用迭代的方式,借助级联GMW序列和小集合Kasami序列的移位序列可以快速生成任何长度的级联No序列,比以往的生成方法简单易行且易于理解.
短句来源
     Because a general Hash algorithm had high collision rate and was not controlled while be used to flow match-ing,a stochastic matrix mapping Hash algorithm was presented,in which the elements of a large set were mapped into a small set through a pre-choosing stochastic number matrix.
     针对常规的Hash算法用于流匹配时冲突率高且不可控制的缺点,提出了一种随机矩阵映射Hash算法。 该算法通过预先优选一个随机数矩阵,然后将大集合的元素分块映射成随机矩阵中的元素,从而把一个大集合映射到一个小集合
短句来源
  有限集
     Feature Extraction and the Design of Classifier in Small Set Handwritten Chinese Character Recognition
     有限集手写体汉字特征提取及分类器设计
短句来源
     Small Set Handwritten Chinese Character Recognition Using Stroke Partition Moment Features
     有限集手写汉字识别中的笔画分区矩描述特征
短句来源
     Small Set Handwritten Chinese Character Recognition Based on Mathematical Morphology
     基于形态学变换的有限集手写体汉字识别
短句来源
     This paper presents basic concept of feature extraction of handwritten Chinese character, and proposes a new feature extraction named superposition mesh weighting factors strokes extracting algorithm to obtain feature of small set handwritten Chinese character.
     介绍了手写体汉字特征提取的基本概念 ,采用了一种叠合网格加权笔画提取方法用于提取有限集汉字特征。
短句来源
     Basing on the analysis model of RBFNN, an integration RBF classifier is used for small set handwritten Chinese character recognition. Then, the hybrid optimize strategy, which combines the genetic algorithm and the simulated annealing, is adopted to train RBFNN.
     通过对径向基函数网络 (RBF网络 )的模型分析 ,提出了一种组合RBF网络分类器应用于有限集手写体汉字识别 ,并利用结合遗传算法和模拟退火算法的混合优化策略进行RBF分类器的训练。
短句来源
  中小机组
     Appliancation for Switch Model Excitation Adjustor in Old and Suffer Small Set
     开关式励磁调节器在中小机组及老机组中的应用
短句来源

 

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      small set
    On the spectrum of the Schr?dinger operator with large potential concentrated on a small set
          
    On the spectrum of the Schr?dinger operator with large potential concentrated on a small set
          
    On the basis of an original interpretation of the crystal state, it is shown that most of the structural types are determined by a small set of planar nets densely filled with the heaviest atoms of the structure.
          
    It is shown that the approach used in the paper makes it possible to reliably reconstruct the molecular potential curve in a wide range of internuclear distances on the basis of processing a relatively small set of spectroscopic data.
          
    It is shown that the new family is optimal with respect to Welch's bound and is different from the small set of Kasami sequences, while both of them have the same correlation properties.
          
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    BACON. 4 is a production system that discovers empirical laws. The program represents information at varying levels of description, with higher levels summarizing the levels below them. BACON. 4 employs a small set of data-driven heuristics to detect regularities in numeric and nominal data. These heuristics note constancies and trends, causing BACON. 4 to formulate hypotheses, to define theoretical terms, and to postulate intrinsic properties. The introduction of intrinsic properties plays an im portant...

    BACON. 4 is a production system that discovers empirical laws. The program represents information at varying levels of description, with higher levels summarizing the levels below them. BACON. 4 employs a small set of data-driven heuristics to detect regularities in numeric and nominal data. These heuristics note constancies and trends, causing BACON. 4 to formulate hypotheses, to define theoretical terms, and to postulate intrinsic properties. The introduction of intrinsic properties plays an im portant role in BACON. 4's rediscovery of Ohm's law for electric circuits and Archime des' law of displacement. When augmented with a heuristic for noting common divisors, the system is able to replicate a number of early chemical discoveries, arriving at Proust's faw of definite proportions, Gay-Lussae's law of combining volumes, Cannizzaro's determination of the relative atomic weights, and Prout's hypothesis. The BACON. 4 heuristics, including the new technique for finding common divisors, appear to be general mechanisms applicable to discovery in diverse domains.

    西蒙是著名的人工智能专家。他送给本刊发表的这篇文章介绍了人工智能研究新进展的一个重要方面,即用计算机发现科学定律。这里介绍的BACON.4是一种发现经验定律的生成子系统。该程序可以用不同的描述层次来表现信息,并在高一层次概括它们。它采用数据推导的试探程序来检测数字数据与名词性数据的规律性。这种程序注意到守恒量和倾向性,从而导致BACON.4提出假说、定义理论项、假设固有性质。这种试探程序还具有发现公约数的新技术,从而可以应用于不同的领域发现科学定律。

    A heuristic parameter estimation method for fault diagnosis is presented in this paper.Through applyingknowledge to diagnosis process,the performance of traditional parameter estimation method is improved in thefollowing two aspects:(1)The calculation labor for estimating the model parameters is reduced since theparameters estimated are reasonably limited to a small set.(2)The fault localization is more accurate as the equa-tions p=f~1(0) are solved under the guidance of the physical meanings(expressed...

    A heuristic parameter estimation method for fault diagnosis is presented in this paper.Through applyingknowledge to diagnosis process,the performance of traditional parameter estimation method is improved in thefollowing two aspects:(1)The calculation labor for estimating the model parameters is reduced since theparameters estimated are reasonably limited to a small set.(2)The fault localization is more accurate as the equa-tions p=f~1(0) are solved under the guidance of the physical meanings(expressed as knowledge) of the system.Atthe last of the paper a simple illustrative example is given.

    本文讨论故障诊断的启发式参数估计法.文中首先讨论了用知识选择待估模型参数,从而减少模型参数估计计算量的问题.接着讨论了在物理意义(体现为知识)下求解方程 p=f~(-1)(θ),从而减小 p 解范围,加强故障定位能力的问题.文末给出了一个用以说明所提方法的仿真算例.

    This paper analyses the discharges variations of pumps,which are caused by different performances of pumps,and presentsa method to determine the small set discharge,which regulates the discharge difference between stages.Thus,the problem of dischargematching of hollow flow section between stages for multi-stage lift pumping stations is solved.

    通过对水泵性能差异引起的水泵出水量的变化分析,提出了调节级间流量差的小机组流量的确定方法,解决了多级提水泵站空流段的级间流量配合问题。

     
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