• Title/Summary/Keyword: 최대근사법

Search Result 93, Processing Time 0.055 seconds

Estimation for the generalized exponential distribution under progressive type I interval censoring (일반화 지수분포를 따르는 제 1종 구간 중도절단표본에서 모수 추정)

  • Cho, Youngseukm;Lee, Changsoo;Shin, Hyejung
    • Journal of the Korean Data and Information Science Society
    • /
    • v.24 no.6
    • /
    • pp.1309-1317
    • /
    • 2013
  • There are various parameter estimation methods for the generalized exponential distribution under progressive type I interval censoring. Chen and Lio (2010) studied the parameter estimation method by the maximum likelihood estimation method, mid-point approximation method, expectation maximization algorithm and methods of moments. Among those, mid-point approximation method has the smallest mean square error in the generalized exponential distribution under progressive type I interval censoring. However, this method is difficult to derive closed form of solution for the parameter estimation using by maximum likelihood estimation method. In this paper, we propose two type of approximate maximum likelihood estimate to solve that problem. The simulation results show the obtained estimators have good performance in the sense of the mean square error. And proposed method derive closed form of solution for the parameter estimation from the generalized exponential distribution under progressive type I interval censoring.

Approximate Model for Peak Demand Power Computation in Metro Railway with DC Rectifiers (DC정류기를 갖는 도시철도의 최대수요전력 산출 근사모델)

  • Kim, Han-Su;Kwon, Oh-Kyu
    • Journal of the Korean Society for Railway
    • /
    • v.16 no.5
    • /
    • pp.372-378
    • /
    • 2013
  • This paper presents an approximate model for computing the peak demand power in a metro railway system. The peak demand of substations can be calculated using the current vector iteration method. But the existing method requires many repeated calculations to determine the peak demand power, which makes it difficult to apply to the real-time peak power control problem. In this paper, we assume that none of the conditions vary except source impedance and make an approximate model for rapid calculation based on changes in the impedance of the power substation. The proposed model result is approximately the same as the existing model, which is demonstrated through simulation.

IAEA사찰표본 할당계산법 비교연구

  • 김현태
    • Proceedings of the Korean Nuclear Society Conference
    • /
    • 1995.05a
    • /
    • pp.1029-1034
    • /
    • 1995
  • IAEA(International Atomic Energy Agency, 국제원자력기구)에서는 사찰활동 수행시, 비복원추출을 기술하는 초기 하분포(hypergeometric distribution) 대신 복원추출을 기술하는 이항분포(binomial distribution)를 사용하여 표본크기 (sample site)를 계산하여 최대 3가지 검증방법들에 할당한다. 본 연구에서는 사찰표본할당과 관련하여 PC사용이 요구되는 반복할당법인 초기하할당법, 개선된 이항할당법, 그리고 표준할당법과 포켓계산기에서 사용 가능한 근사 할당법인 개선된 이항할당근사법과 표준이항할당근사법을 비교 검토하였다.

  • PDF

Interpolation-based Precoding Approximation Algorithm for Low Complexity in Multiuser MIMO-OFDM Systems (다중 사용자 MIMO-OFDM 시스템에서 계산양 감소를 위한 선형 보간법 기반 프리코딩 근사화 기법)

  • Lim, Dong-Ho;Kim, Bong-Seok;Choi, Kwon-Hue
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.35 no.11A
    • /
    • pp.1027-1037
    • /
    • 2010
  • In this paper, we propose the linear interpolation-based BD (Block Diagonalization) precoding approximation algorithm for low complexity in downlink multiuser MIMO-OFDM (Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing) systems. In the case of applying the general BD precoding algorithm to multiuser MIMO-OFDM systems, the computational complexity increases in proportional to the number of subcarriers. The proposed interpolation-based BD precoding approximation algorithm can be achieved similar SER performance with general BD algorithm and can decrease the computational complexity. It is proved that proposed algorithm can achieve the significantly decreased computational complexity by computer simulation.

A Study on TSIUVC Approximate-Synthesis Method using Least Mean Square (최소 자승법을 이용한 TSIUVC 근사합성법에 관한 연구)

  • Lee, See-Woo
    • The KIPS Transactions:PartB
    • /
    • v.9B no.2
    • /
    • pp.223-230
    • /
    • 2002
  • In a speech coding system using excitation source of voiced and unvoiced, it would be involves a distortion of speech waveform in case coexist with a voiced and an unvoiced consonants in a frame. This paper present a new method of TSIUVC (Transition Segment Including Unvoiced Consonant) approximate-synthesis by using Least Mean Square. The TSIUVC extraction is based on a zero crossing rate and IPP (Individual Pitch Pulses) extraction algorithm using residual signal of FIR-STREAK Digital Filter. As a result, This method obtain a high Quality approximation-synthesis waveform by using Least Mean Square. The important thing is that the frequency signals in a maximum error signal can be made with low distortion approximation-synthesis waveform. This method has the capability of being applied to a new speech coding of Voiced/Silence/TSIUVC, speech analysis and speech synthesis.

An Efficient Traning of Multilayer Neural Newtorks Using Stochastic Approximation and Conjugate Gradient Method (확률적 근사법과 공액기울기법을 이용한 다층신경망의 효율적인 학습)

  • 조용현
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.8 no.5
    • /
    • pp.98-106
    • /
    • 1998
  • This paper proposes an efficient learning algorithm for improving the training performance of the neural network. The proposed method improves the training performance by applying the backpropagation algorithm of a global optimization method which is a hybrid of a stochastic approximation and a conjugate gradient method. The approximate initial point for f a ~gtl obal optimization is estimated first by applying the stochastic approximation, and then the conjugate gradient method, which is the fast gradient descent method, is applied for a high speed optimization. The proposed method has been applied to the parity checking and the pattern classification, and the simulation results show that the performance of the proposed method is superior to those of the conventional backpropagation and the backpropagation algorithm which is a hyhrid of the stochastic approximation and steepest descent method.

  • PDF

The discretization method of Poisson equation by considering Fermi-Dirac distribution (Fermi-Dirac 분포를 고려한 Poisson 방정식의 이산화 방법)

  • 윤석성;이은구;김철성
    • Proceedings of the IEEK Conference
    • /
    • 1999.06a
    • /
    • pp.907-910
    • /
    • 1999
  • 본 논문에서는 고 농도로 불순물이 주입된 영역에서 전자 및 정공 농도를 정교하게 구현하기 위해 Fermi-Dirac 분포함수를 고려한 포아송 방정식의 이산화 방법을 제안하였다. Fermi-Dirac 분포를 근사시키기 위해서 Least-Squares 및 점근선 근사법을 사용하였으며 Galerkin 방법을 근간으로 한 유한 요소법을 이용하여 포아송 방정식을 이산화하였다. 구현한 모델을 검증하기 위해 전력 BJT 시료를 제작하여 자체 개발된 소자 시뮬레이터인 BANDIS를 이용하여 모의 실험을 수행한 결과, 상업용 2차원 소자 시뮬레이터인 MEDICI에 비해 최대 4%이내의 상대 오차를 보였다.

  • PDF

A Study on TSIUVC Approximate-Synthesis Method using Least Mean Square and Frequency Division (주파수 분할 및 최소 자승법을 이용한 TSIUVC 근사합성법에 관한 연구)

  • 이시우
    • Journal of Korea Multimedia Society
    • /
    • v.6 no.3
    • /
    • pp.462-468
    • /
    • 2003
  • In a speech coding system using excitation source of voiced and unvoiced, it would be involved a distortion of speech quality in case coexist with a voiced and an unvoiced consonants in a frame. So, I propose TSIUVC(Transition Segment Including Unvoiced Consonant) searching and extraction method in order to uncoexistent with a voiced and unvoiced consonants in a frame. This paper present a new method of TSIUVC approximate-synthesis by using Least Mean Square and frequency band division. As a result, this method obtain a high quality approximation-synthesis waveforms within TSIUVC by using frequency information of 0.547KHz below and 2.813KHz above. The important thing is that the maximum error signal can be made with low distortion approximation-synthesis waveform within TSIUVC. This method has the capability of being applied to a new speech coding of Voiced/Silence/TSIUVC, speech analysis and speech synthesis.

  • PDF

Likelihood Approximation of Diffusion Models through Approximating Brownian Bridge (브라운다리 근사를 통한 확산모형의 우도 근사법)

  • Lee, Eun-kyung;Sim, Songyong;Lee, Yoon Dong
    • The Korean Journal of Applied Statistics
    • /
    • v.28 no.5
    • /
    • pp.895-906
    • /
    • 2015
  • Diffusion is a mathematical tool to explain the fluctuation of financial assets and the movement of particles in a micro time scale. There are ongoing statistical trials to develop an estimation method for diffusion models based on likelihood. When we estimate diffusion models by applying the maximum likelihood estimation method on data observed at discrete time points, we need to know the transition density of the diffusion. In order to approximate the transition densities of diffusion models, we suggests the method to approximate the path integral of the random process with normal random variables, and compare the numerical properties of the method with other approximation methods.

3차원 육방형 노심 해석을 위한 다항식전개법(PEN)

  • 조진영;김창효
    • Proceedings of the Korean Nuclear Society Conference
    • /
    • 1995.10a
    • /
    • pp.61-66
    • /
    • 1995
  • 이 논문의 목적은 육방형 핵연료집합체로 구성된 3차원 노심을 해석하기 위한 다항식전개법을 개발하는 것이다. 이를 위해 3차원 육방형 핵연료 집합체를 6개의 3차원 프리즘노드로 분할하였다. 그리고 각 꼭지점에서의 점중성자속, 프리즘 각면의 면중성자속과 노드평균중성자속을 미지변수로 하여 다항식전개법에 의해 프리즘노드내의 중성자속분포를 근사하였다. 각 중성자속간의 관계식으로서 프리즘노드내에서의 노달중성자평형식, 두 노드사이의 면에서의 중성자류 연속관계식, 각 꼭지점에서의 중성자누설평형식을 사용하였다. 다항식전개법은 해석함수 전개법에 비해 약 3배정도 빠르며 4군확산방정식에도 훌륭이 적용되었다. 그리고 VVBR-1000 3차원 벤치마크 문제에서 최대출력오차 2.6%, VVER-440 3차원 벤치마크 문제에서 12 평면과 24평면으로 나눈 경우 각각 최대출력오차 15%와 6.6%, SNR 3차원 문제에서 8 평면과 16 평면으로 나눈 경우 각각 최대오차 5.4%와 2,6%를 보였다.

  • PDF