• 제목/요약/키워드: Non-linear Function

검색결과 823건 처리시간 0.035초

부분 최소 자승법과 잔차 보상기를 이용한 비선형 데이터 분류 (Non-linear Data Classification Using Partial Least Square and Residual Compensator)

  • 김경훈;김태영;최원호
    • 제어로봇시스템학회논문지
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    • 제10권2호
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    • pp.185-191
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    • 2004
  • Partial least squares(PLS) is one of multiplicate statistical process methods and has been developed in various algorithms with the characteristics of principal component analysis, dimensionality reduction, and analysis of the relationship between input variables and output variables. But it has been limited somewhat by their dependency on linear mathematics. The algorithm is proposed to classify for the non-linear data using PLS and the residual compensator(RC) based on radial basis function network (RBFN). It compensates for the error of the non-linear data using the RC based on RBFN. The experimental result is given to verify its efficiency compared with those of previous works.

퍼지 스위칭 모드를 이용한 하이브리드 제어기의 설계 (Design of the Hybrid Controller using the Fuzzy Switching Mode)

  • 최창호;임화영
    • 한국지능시스템학회논문지
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    • 제10권3호
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    • pp.260-269
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    • 2000
  • The fuzzy and state-feedback control systems have been applied in various areas from non-linear to linear systems. A Fuzzy controller is endowed with control rules and membership function that are constructed on the knowledge of expert, as like intuition and experience. but It is very difficult to obtain the exact values which are the membership function and consequent parameters. though apply back-propagation algorithm to the system, the convergence time a much. Besides, the state-feedback system is most widely used in industry due to its simple control structure and easily able to design the controller. but it is weak in complex system of higher degree and non-linear. In this paper presents the design of a fuzzy switching mode, it these two controllers work at different operation conditions, the advantages of both controller can be retained and the disadvantages can be removed. Between the Fuzzy and the State-feedback controlles, the good outputs are selected by the switching mode. Moreover it is powerful in complex system of higher degree and non-linear. In these sense compared with the state-feedback controller, the performance of the proposed controller was improvedin the section of linearization.

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Robust Speech Hash Function

  • Chen, Ning;Wan, Wanggen
    • ETRI Journal
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    • 제32권2호
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    • pp.345-347
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    • 2010
  • In this letter, we present a new speech hash function based on the non-negative matrix factorization (NMF) of linear prediction coefficients (LPCs). First, linear prediction analysis is applied to the speech to obtain its LPCs, which represent the frequency shaping attributes of the vocal tract. Then, the NMF is performed on the LPCs to capture the speech's local feature, which is then used for hash vector generation. Experimental results demonstrate the effectiveness of the proposed hash function in terms of discrimination and robustness against various types of content preserving signal processing manipulations.

Comparison of linear and non-linear equation for the calibration of roxithromycin analysis using liquid chromatography/mass spectrometry

  • Lim, Jong-Hwan;Yun, Hyo-In
    • 대한수의학회지
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    • 제50권1호
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    • pp.11-17
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    • 2010
  • Linear and non-linear regressions were used to derive the calibration function for the measurement of roxithromycin plasma concentration. Their results were compared with weighted least squares regression by usual weight factors. In this paper the performance of a non-linear calibration equation with the capacity to account empirically for the curvature, y = ax$^{b}$ + c (b $\neq$ 1) is compared with the commonly used linear equation, y = ax + b, as well as the quadratic equation, y = ax$^{2}$+ bx + c. In the calibration curve (range of 0.01 to 10 ${\mu}g/mL$) of roxithromycin, both heteroscedasticity and nonlinearity were present therefore linear least squares regression methods could result in large errors in the determination of roxithromycin concentration. By the non-linear and weighted least squares regression, the accuracy of the analytical method was improved at the lower end of the calibration curve. This study suggests that the non-linear calibration equation should be considered when a curve is required to be fitted to low dose calibration data which exhibit slight curvature.

공간적 상관관계가 존재하는 이산형 자료를 위한 일반화된 공간선형 모형 개관 (Review of Spatial Linear Mixed Models for Non-Gaussian Outcomes)

  • 박진철
    • 응용통계연구
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    • 제28권2호
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    • pp.353-360
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    • 2015
  • 공간적으로 관측되는 연속형 자료를 분석하는 모형으로 공간적 상관관계를 고려한 다양한 정규모형이 지난 수십 년간 제안되었다. 그 중에서 공간효과를 랜덤효과로 모형화하는 공간선형모형(Spatial Linear Mixed Model; SLMM)이 가장 널리 활용되는 모형 중 하나일 것이다. 연결함수(link function)을 사용하면 SLMM을 비정규 데이터도 적용할 수 있는 일반화된 공간선형모형(Spatial Generalized Linear Mixed Model; SGLMM)으로 자연스럽게 확장할 수 있다. 이 논문에서는 가장 널리 활용되는 SGLMM을 알아보고 실제 데이터 적용사례를 R 패키지를 활용하여 제시하고자 한다.

Estimation of Smoothing Constant of Minimum Variance and Its Application to Shipping Data with Trend Removal Method

  • Takeyasu, Kazuhiro;Nagata, Keiko;Higuchi, Yuki
    • Industrial Engineering and Management Systems
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    • 제8권4호
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    • pp.257-263
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    • 2009
  • Focusing on the idea that the equation of exponential smoothing method (ESM) is equivalent to (1, 1) order ARMA model equation, new method of estimation of smoothing constant in exponential smoothing method is proposed before by us which satisfies minimum variance of forecasting error. Theoretical solution was derived in a simple way. Mere application of ESM does not make good forecasting accuracy for the time series which has non-linear trend and/or trend by month. A new method to cope with this issue is required. In this paper, combining the trend removal method with this method, we aim to improve forecasting accuracy. An approach to this method is executed in the following method. Trend removal by a linear function is applied to the original shipping data of consumer goods. The combination of linear and non-linear function is also introduced in trend removal. For the comparison, monthly trend is removed after that. Theoretical solution of smoothing constant of ESM is calculated for both of the monthly trend removing data and the non monthly trend removing data. Then forecasting is executed on these data. The new method shows that it is useful especially for the time series that has stable characteristics and has rather strong seasonal trend and also the case that has non-linear trend. The effectiveness of this method should be examined in various cases.

불규칙 가진을 받는 포화 진동계의 응답제어에 관한 확률밀도 추정 (Approximate Probability Density for the Controlled Responses of Randomly Excited Saturated Oscillator)

  • 박지훈;김홍진;민경원
    • 한국전산구조공학회논문집
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    • 제16권3호
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    • pp.301-309
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    • 2003
  • 제어기 포화를 고려한 비선형 제어 알고리듬은 폭넓게 연구되었으나 비선형성과 확률밀도함수(PDF)의 해석해가 존재하지 않기 때문에 알고리듬의 확률적 연구가 미진하여 왔다. 본 연구에서는, 제어기포화를 고려한 비선형 제어 알고리듬의 확률적 해석 방법이 등가 비선형 시스템 방법에 기초하여 제안되었다. 가우시안 백색잡음과 Kanai-Tagimi 필터통과 백색잡음에 의한 구조물 응답에 대하여 제안된 PDF 근사식을 이용하여 얻어진 결과를 통계적으로 얻어진 구조물 응답 PDF와 비교하여 정확성을 검증하였다.

Uniqueness of Certain Non-Linear Differential Polynomials Sharing 1-Points

  • Banerjee, Abhijit
    • Kyungpook Mathematical Journal
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    • 제51권1호
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    • pp.43-58
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    • 2011
  • Using the notion of weighted sharing of values we study the uniqueness of meromorphic functions when certain non-linear differential polynomials share the same 1-points. Though the main concern of the paper is to improve a result of Fang [5] but as a consequence of the main result we improve and supplement some former results of Lahiri-Sarkar [16], Fang-Fang[6] et. al.

전압형 전력 변환기 비선형 모델 및 전류제어기 조정 (Non-Linear Model of Voltage Source Power Converter and Tuning Current controller)

  • 박상영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 추계학술대회 논문집 학회본부A
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    • pp.144-146
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    • 1998
  • In this study Dead time equivalent resistance of Voltage source power converter is very important in current controller design. And Non-linear Modeling method can be applied in Power converter analysis. Using Describing Function method and Non-linear Resistance Modeling. Voltage Source Power Converter Bode diagram and Current controller analysis method are more reality.

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