• 제목/요약/키워드: Parity Function

검색결과 52건 처리시간 0.024초

R의 neuralnet을 활용한 신경망분석 (Neural network analysis using neuralnet in R)

  • 백재욱
    • 산업진흥연구
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    • 제6권1호
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    • pp.1-7
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    • 2021
  • 본 연구는 다층 퍼셉트론과 지도형 학습알고리즘에 대해 알아보았고, 아울러 neuralnet이라는 패키지를 사용하여 공변수들과 반응변수 간의 함수적 관계를 어떻게 모델링하는지 살펴보았다. 본 연구에서 적용된 알고리즘은 반응변수 값의 실제치와 예측치 간의 비교에 근거한 오차함수의 최소화를 위한 모수인 가중치들의 계속적인 조정을 특징으로 한다. 본 연구에서 설명하는 neuralnet 패키지는 활성화함수와 오차함수를 주어진 상황에 맞게 적절히 선택하고 나머지 매개변수들은 기본값으로 둘 수 있다. 본 연구에서 살펴본 불임 데이터에 대해 neuralnet 패키지를 활용한 결과 4개의 독립변수 중에서 age는 불임에 영향력이 거의 없음을 파악할 수 있었다. 아울러 신경망의 가중치는 -751.6부터 7.25에 이르기까지 다양한 값을 취하며, 첫 번째 은닉층의 절편은 -92.6과 7.25이며, 첫 번째 은닉뉴런으로 가는 공변수 age, parity, induced, spontaneous에 대한 가중치는 각각 3.17, -5.20, -36.82, -751.6임을 파악했다.

활성화 함수의 이득 가변화를 이용한 역전파 알고리즘의 성능개선 (The Performance Improvement of Backpropagation Algorithm using the Gain Variable of Activation Function)

  • 정성부;이현관;엄기환
    • 전자공학회논문지CI
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    • 제38권6호
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    • pp.26-37
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    • 2001
  • 일반적인 역전파 알고리즘의 여러 가지 문제점들을 개선하기 위하여 활성화 함수의 이득을 퍼지 로직 시스템을 이용하여 자동 조절하는 방식을 제안하였다. 퍼지 로직 시스템을 구성하기 위하여 먼저 활성화 함수의 이득의 변화가 학습율, 연결강도 바이어스 등의 변화와 등가인 관계를 조사하였다 퍼지 로직 시스템의 입력은 마지막층에 대한 오차의 감도와 은닉층에 대한 오차의 평균 감도를 사용하였고, 출력은 활성화 함수의 이득을 사용하였다. 제안한 방식과 일반적인 역전파 알고리즘을 패리티 문제, 함수 근사화 문제 및 패턴 인식 문제등에 대하여 시뮬레이션하여 비교 검토한 결과 수렴비, 평균 학습 반복수, 정말도 및 새로운 입력 에 대한 원하는 오차 범위의 출력을 얻는 등의 성능이 개선됨을 알았다.

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블록부호화된 위상/주파수 변조방식에 관한 연구 (A Study on the Block Coded Phase/Frequency Modulation)

  • 양원근;이충웅
    • 대한전자공학회논문지
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    • 제27권12호
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    • pp.1792-1799
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    • 1990
  • Two cases of block coded phase/frequncy modulations are investigated. minimum Euclidean distances are calculated as the function of modulation index h and rotation angle \ulcorner in the cases of 2-FSK/4-PSK and 2-FSK/8-PSK. Method of signal set partitioning is described, especially for the case of 2-FSK/8-PSK. The results are compared with S.I. Sayegh's work and shown better performance. For example, with simple parity check and repetition codes, we can get coding gain of 3 dB in the case of 2-FSK/4-PSK with block length n=4. We get 5.33 dB in the case of 2-FSK/8-PSK with n=4. And it is believed that we can get higher coding gain with proper combinations of block code and n-FSK/m-PSK type channel signal constellations.

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학습 성능의 개선을 위한 복합형 신경회로망의 구현과 이의 시각 추적 제어에의 적용 (Implementation of Hybrid Neural Network for Improving Learning ability and Its Application to Visual Tracking Control)

  • 김경민;박중조;박귀태
    • 전자공학회논문지B
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    • 제32B권12호
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    • pp.1652-1662
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    • 1995
  • In this paper, a hybrid neural network is proposed to improve the learning ability of a neural network. The union of the characteristics of a Self-Organizing Neural Network model and of multi-layer perceptron model using the backpropagation learning method gives us the advantage of reduction of the learning error and the learning time. In learning process, the proposed hybrid neural network reduces the number of nodes in hidden layers to reduce the calculation time. And this proposed neural network uses the fuzzy feedback values, when it updates the responding region of each node in the hidden layer. To show the effectiveness of this proposed hybrid neural network, the boolean function(XOR, 3Bit Parity) and the solution of inverse kinematics are used. Finally, this proposed hybrid neural network is applied to the visual tracking control of a PUMA560 robot, and the result data is presented.

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패리티 비트를 확장한 오류 검사에 관한 연구 (Error Detection using Advanced Parity Bit)

  • 김인수;민형복;김용현;김신택
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.1965-1966
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    • 2008
  • The manipulation of Boolean functions is a fundamental part of computer science, and many problems in the design and testing of digital systems can be expressed as a sequence of operations. It is mainly a paper of our research on the techniques of Boolean function manipulation using Binary Decision Diagram(BDDs) and their applications for VLSI CAD System. In many practical applications related to digital system design, it is a basic technique to use ternary-valued functions. In this paper, we discuss the methods for representing logical values.

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동적 변화구조의 역전달 신경회로와 로보트의 역 기구학 해구현에의 응용 (A Dynamically Reconfiguring Backpropagation Neural Network and Its Application to the Inverse Kinematic Solution of Robot Manipulators)

  • 오세영;송재명
    • 대한전기학회논문지
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    • 제39권9호
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    • pp.985-996
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    • 1990
  • An inverse kinematic solution of a robot manipulator using multilayer perceptrons is proposed. Neural networks allow the solution of some complex nonlinear equations such as the inverse kinematics of a robot manipulator without the need for its model. However, the back-propagation (BP) learning rule for multilayer perceptrons has the major limitation of being too slow in learning to be practical. In this paper, a new algorithm named Dynamically Reconfiguring BP is proposed to improve its learning speed. It uses a modified version of Kohonen's Self-Organizing Feature Map (SOFM) to partition the input space and for each input point, select a subset of the hidden processing elements or neurons. A subset of the original network results from these selected neuron which learns the desired mapping for this small input region. It is this selective property that accelerates convergence as well as enhances resolution. This network was used to learn the parity function and further, to solve the inverse kinematic problem of a robot manipulator. The results demonstrate faster learning than the BP network.

역전파 알고리즘의 성능개선을 위한 학습율 자동 조정 방식 (Auto-Tuning Method of Learning Rate for Performance Improvement of Backpropagation Algorithm)

  • 김주웅;정경권;엄기환
    • 전자공학회논문지CI
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    • 제39권4호
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    • pp.19-27
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    • 2002
  • 역전파 알고리즘의 성능 개선을 위해서 학습율을 자동 조정하는 방식을 제안하였다. 제안한 방식은 각각의 연결강도의 학습율을 퍼지 논리 시스템을 이용하여 자동 조정하는 방식으로 각각의 연결강도에 대해서 ${\Delta}$$\bar{{\Delta}}$를 구하여 퍼지 논리 시스템의 입력으로 사용하고, 학습율을 출력으로 사용하였다. 제안한 방식을 N-패리티 문제, 함수 근사, 숫자 패턴 분류에 대한 시뮬레이션 결과 일반적인 역전파 알고리즘, 모멘텀 방식, Jacobs의 delta-bar-delta 방식보다 성능이 개선됨을 확인하였다.

복잡도를 줄인 LDPC 복호를 위한 새로운 Simplified Sum-Product 알고리즘 (New Simplified Sum-Product Algorithm for Low Complexity LDPC Decoding)

  • 한제희;선우명훈
    • 한국통신학회논문지
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    • 제34권3C호
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    • pp.322-328
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    • 2009
  • 본 논문은 BER 성능을 높인 LDPC 복호를 위한 새로운 SSP 알고리즘을 제안한다. 제안하는 SSP 알고리즘은 추가적인 연산 없이 곱셈 연산과 나눗셈 연산을 덧셈 연산과 뺄셈 연산으로 대체가 가능하다. 제안하는 SSP 알고리즘은 In[tanh(x)] 함수와 $tanh^{-1}[exp(x)]$ 함수를 각각의 양자화 테이블을 사용하여 단순화하기 때문에 연산 복잡도를 줄일 수 있다. 시뮬레이션 결과 제안하는 SSP 알고리즘은 기존의 근사화 SP 알고리즘과 비교하여 BER 성능을 $0.3\;{\sim}\;0.8\;dB$ 향상시킨 것을 보여준다.

INFINITE FAMILIES OF CONGRUENCES MODULO 2 FOR 2-CORE AND 13-CORE PARTITIONS

  • Ankita Jindal;Nabin Kumar Meher
    • 대한수학회지
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    • 제60권5호
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    • pp.1073-1085
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    • 2023
  • A partition of n is called a t-core partition if none of its hook number is divisible by t. In 2019, Hirschhorn and Sellers [5] obtained a parity result for 3-core partition function a3(n). Motivated by this result, both the authors [8] recently proved that for a non-negative integer α, a3αm(n) is almost always divisible by an arbitrary power of 2 and 3 and at(n) is almost always divisible by an arbitrary power of pji, where j is a fixed positive integer and t = pa11pa22···pamm with primes pi ≥ 5. In this article, by using Hecke eigenform theory, we obtain infinite families of congruences and multiplicative identities for a2(n) and a13(n) modulo 2 which generalizes some results of Das [2].

폐경 후 류마티스 관절염 여성의 골량감소 판별요인 (Determinants of Reduced Bone Mass in Postmenopausal Women with Rheumatoid Arthritis)

  • 이은남
    • 재활간호학회지
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    • 제2권2호
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    • pp.193-205
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    • 1999
  • This study was carried out to identify the important risk factors for reduced bone mass of postmenopausal RA patients and to develop discriminant function which can classify postmenopausal RA patients with either reduced or normal bone mass. Through the literature review, individual characteristics such as age, body weight, height, age of menarche, duration of menopause, gravity, parity, and breast feeding period and factors of life style such as milk consumption exercise habit, alcohol intake, cigarette smoking, coffee consumpt ion , disease activity, corticosteroid therapy were identified as influencing factors of reduced bone mass in RA patients Sixty eight postmenopausal women with rheumatoid arthritis aged between 42 and 76 were selected among those who checked bone mineral density in lumbar spine and femur from october, 1998 to Apr il, 1999 at Dong-a university hospital in Pusan. Assessment of disease activity, duration of disease and corticosteroid therapy were made by the same rheumatologist and included Ritchie articular index, erythrocyte sedimentation rate, and C-reactive protein on measuring bone mineral density. Cumulative steroid dosage was calculated from the daily dosage multiplied by t h e number of days received. The information of other risk factor including health assessment score, individual characteristics and life style factors were collected by questionnaire. Bone mineral density(BMD) was measured using DXA at lumbar spine and femoral Ward's triangle. Discriminant function(regression equation) was developed for estimating the likelihood of the presence or absence of reduced bone mass. The results are as follows: Among the subjects, thirteen(19.1%) exhibited osteoporosis in lumbar spine and twenty four(35.3%) exhibited osteoporosis in femoral Ward's triangle. For lumbar spine, the variables significant were age, body weight, health assessment score, while for femoral Ward's triangle, age, body weight, duration of disease. But disease activity and corticosteroid therapy were not signigicant to distinguish reduced bone mass from normal bone mass. When the discriminant function was evaluated by comparing the observed out come with predicted out come, the discriminant function correctly classified 85.4% of patients with reduce bone mass and 63.0% of patients with normal bone mass in the lumbar spine and 100% of patients with reduced bone mass and 9.1% of patients with normal bone mass in the femoral Ward's triangle. In summary, we found that osteoporosis in postmenopausal women with RA is more evident at the femur than the lumbar spine. Also the important discriminant factors of reduced bone mass postmenopausal women with RA were age, body weight , duration of disease and health disability. In nursing situation, the efforts to improve of functional capacity of postmenopausal women with rheumatoid arthritis should be considered to prevent osteoporosis and fractures. Also we recommend those postmenopausal women with RA who are classified as a group of the reduced bone mass in the discriminant function should examine the bone mineral density to further examine the usefulness of this discriminant function.

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