Accuracy requirements are usually determined as a percentage of the specification range of the measured part or process. Setting accuracy requirements in this manner results in a wide and unpredictable range of false ...
Accuracy requirements are usually determined as a percentage of the specification range of the measured part or process. Setting accuracy requirements in this manner results in a wide and unpredictable range of false rejection and acceptance probabilities. This causes extra costs due to either: 1) over specification of measurement systems accuracy requirements;2) time, effort, retesting, and resolution of false rejections;or 3) system degradation caused by false acceptance of out-of-specification parts. Achieving a consistent and known risk of false acceptance is only possible by considering the measured process C(pk), the process's mean in relation to the center of the specification range, and the measurement system error distribution. This paper presents a method for calculating the probabilities of false rejection and false acceptance for a normal process which is measured with, alternately, uniform and normally distributed error. It is shown that under most conditions uniform error causes 20% to 30% higher false rejection and acceptance probabilities. Thus, knowledge of measurement error distribution could provide lower total production cost.
Fuzzy system has been known to provide a framework for handling uncertainties and imprecision by taking linguistic information from human experts. However, difficulties arise in determining effectively the fuzzy syste...
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Fuzzy system has been known to provide a framework for handling uncertainties and imprecision by taking linguistic information from human experts. However, difficulties arise in determining effectively the fuzzy system configuration, i.e. , the number of rules, input and output membership functions. A neuro-fuzzy system design methodology by combining neural network and fuzzy logic is developed in this paper to adaptively adjust the fuzzy membership functions and dynamically optimize the linguistic-fuzzy rules. The structure of a five-layer feedforward network is shown to determine systematically the correct fuzzy logic rules, tune optimally (in the sense of local region) the parameters of the membership functions, and perform accurately the fuzzy inference. It is shown both numerically and experimentally that engineering applications of the neuro-fuzzy system to vibration control have been very successful.
作者：
KORWEK, ELEdward L. Korwek
Ph.D. J.D. is associated with the law offices of Keller and Heckman 1150 17th St. N.W. Washington D.C. 20036.REFERENCES Committee on Recombinant DNA "Potential Biohazards of Recombinant DNA Molecules" Nature250: 175 (1974) Proc. Nat. Acad. Sci.71: 2593 (1974)Science185: 303 (1974).|Article|Fed. Regist.48: 24556 (1983).Milewski
E. Editor's Note. Recombinant DNA Tech. Bull.4: i (1981).Inside EPA 4 1 (1983). EPA has already held a meeting and published a draft report on the subject of its regulation of this area under the TSCA. EPA "Administrator's Toxic Substances Advisory Committee Meeting"
Fed. Regist.48: 8342 (1983) Regulation of Genetically Engineered Substances Under TSCA
Chemical Control Division Office of Toxic Substances Office of Pesticides and Toxic Substances Environmental Protection Agency Washington D.C. (March 1982). Congress also recently held a hearing on the subject of existing federal authority over the release of R-DNA-containing organisms into environment. M. Sun Science221: 136 (1983).Sects. 2-30 15 U.S. Code sects. 2601-2629 (1976 and Supp. V 1981). Hereinafter all references in the text to TSCA refer to the section numbers as enacted and not to the corresponding U.S. Code sections.The Administrative Procedure Act specifically states that the reviewing court shall "hold unlawful and set aside agency action findings and conclusions found to be hellip in excess of statutory jurisdiction
authority or limitations or short of statutory right. hellip " 5 U.S. Code
sect. 706(2)(C) (1976).PHS Act 42 U.S. Code sects. 217a and 241 (1976) Charter
Recombinant DNA Advisory Committee Department of Health and Human Services (1982).Korwek E. Food Drug and Cosm. L. J.35: 633 (1980) p. 636.Although DHHS has some authority under Section 361 of the PHS Act to regulate R-DNA materials that cause human disease and are communicable most types of experimentation would not fall into this category. Because of this limitation the Sub committee of the Federal
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