• Title/Summary/Keyword: Parity discrimination

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Parity Discrimination by Perceptron Neural Network (퍼셉트론형 신경회로망에 의한 패리티판별)

  • Choi, Jae-Seung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.3
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    • pp.565-571
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    • 2010
  • This paper proposes a parity discrimination algorithm which discriminates N bit parity using a perceptron neural network and back propagation algorithm. This algorithm decides minimum hidden unit numbers when discriminates N bit parity. Therefore, this paper implements parity discrimination experiments for N bit by changing hidden unit numbers of the proposed perceptron neural network. Experiments confirm that the proposed algorithm is possible to discriminates N bit parity.

N bit Parity Discrimination using Perceptron Neural Network (신경회로망을 사용한 N 비트 패리티 판별)

  • Choi, Jae-seung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.149-152
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    • 2009
  • 본 논문에서는 오차역전파 알고리즘을 사용한 3층 구조의 퍼셉트론형 신경회로망으로 네트워크의 학습을 실시하여, N비트의 패리티판별에 필요한 최소의 중간유닛수의 해석에 관한 연구이다. 따라서 본 논문은 제안한 퍼셉트론형 신경회로망의 중간 유닛의 수를 변화시켜 N 비트의 패리티 판별 실험을 실시하였다. 본 시스템은 패리티 판별의 실험을 통하여 N 비트 패리티 판별이 가능하다는 것을 실험으로 확인한다.

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Learning method of a Neural Network using Genetic Algorithm for 3 Bit Parity Discrimination (패리티 판별을 위한 유전자 알고리즘을 사용한 신경회로망의 학습법)

  • Choi, Jae-Seung;Kim, Chung-Hwa
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.44 no.2 s.314
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    • pp.11-18
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    • 2007
  • Back propagation algorithm based on a gradient-decent method has been widely used to the training of a neural network. However, this algorithm have some problems such as dropping the minimum value in a local area according to an initial value and setting the number of units in a hidden layer when training the neural network. Accordingly, to solve the above-mentioned problems, this paper proposes a genetic algorithm using the training method of the neural network. Thus, the improved genetic algorithm using a new crossover and mutation method is proposed to discriminate 3 bit parity. Experiments confirm that the proposed system is effective for training speed after demonstrating for generation gap, the number of units in the hidden layer, and the number of individuals.

A Preliminary Study for the Outdoor Accessibility Improvement on The Handicapped Facilities (장애인편의시설 외부접근 공간 개선을 위한 기초조사 연구)

  • Kim, Dae-Hee;Lee, Kang-Hee;Jang, Jung-Hee
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2005.11a
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    • pp.97-100
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    • 2005
  • The handicapped as a member of a society should possess the same opportunity of a perfect participation in public affairs and an equal opportunity in parity of treatment. All sorts of physical and social barriers surrounding the handicapped who can not having a impairment and disability give a less chance to have a share in their society. Therefore, this discrimination barriers must be phased off not only by handicapped but also by normal social members so as to perfect and free access to movement, all of social institution and social activities. Therefor, this paper provides a basic data which conducts investigation and analysis on the outdoor access environment for the handicapped's easy access to public building or facilities. It would be most import rules to make a decision between improvement rate and object for public building or public facilities.

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Validity of Referral of High Risk Pregnancy in MCH Center (모자 보건 센터에서의 고위험 산모 의뢰 기준의 타당성)

  • Kim, Gui-Yeon;Park, Jung-Han
    • Journal of Preventive Medicine and Public Health
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    • v.22 no.1 s.25
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    • pp.146-152
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    • 1989
  • To test the validity of referral of high risk pregnancy in the MCH Center, 6,017 pregnant women who visited MCH Center of South District Health Center for delivery between 1 April 1985 and 31 March 1987 were interviewed on arrival to obtain the data for demographic characteristics and obsteric history and traced to check the delivery outcome. Out of 5,820 women whose delivery outcomes were confrmed, 704 women(12.1%) were referred to other hospital or clinic for high risk factors. The proportion of poor delivery outcome(stillbirth, low birth weight and neonatal death) among referred cases was 4.4% while that of the women delivered at the MCH Center was 2.2% (p<0.01). Decision of the midwives for the referral of high risk pregnancy based on their clinical assessment was consistent with the delivery outcome (good or poor) in 86.5%. Major reasons for referral were premature rupture of membrane(46.5%) and cephalopelvic disproportion(20.0%) and the C-section rates for these cases were 10.1%, 17.6%, respectively. Discriminant analysis of the demographic characteristics and obstertric history for the discrimination of delivery outcome showed that gestational age had the highest discriminant function coefficient(0.88) and it was followed by parity(0.37) and maternal education(0.30). Referral of high risk pregnancy by the midwives based on their clinical assessment was considered to be reasonably valid. However, a risk scoring system for an MCH Center which can improve the validity may be developed if one applies the discriminant analysis for more comprehensive independent variable(including clinical assessment of midwife, demographic characteristics and obstetric history) and dependent variable (including medically indicated C-section, complication of pregnancy and delivery, stillbirth, low birth weight, neonatal death and maternal death).

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