Теми рефератів
> Реферати > Курсові роботи > Звіти з практики > Курсові проекти > Питання та відповіді > Ессе > Доклади > Учбові матеріали > Контрольні роботи > Методички > Лекції > Твори > Підручники > Статті Контакти
Реферати, твори, дипломи, практика » Статьи » Синтезу структури універсального вимірювального каналу ультрафіолетовіх фотодіодів

Реферат Синтезу структури універсального вимірювального каналу ультрафіолетовіх фотодіодів





Sensors, vol. 8, pp. 7410-7427, Nov. 2008.

. MJ Rivera, RM Carrillo, and RG Herrera, Quantitative evaluation of self-compensation algorithms applied in intelligent sensors, Proc +2010 IEEE International Instrumentation and Measurement Technology Conference, Austin, TX, USA. ISSN - 1091- 5281/ISBN 978-1-4244-2833-5. pp. 3-6, May 2010.

. Derde MP Supervised pattern recognition: the ideal method?/Derde MP, Massart DL//Analytica Chimica Acta.- 1986. - Vol. 191. - P. 1

. Michie D. Machine Learning, Neural and Statistical Classification/Michie D., Spiegelhalter DJ, Taylor CC- New York: Ellis Horwood, 1994.

. Lavine BK Source Identification of Underground Fuel Spills by Pattern Recognition Analysis of High-Speed ??Gas Chromatograms/Lavine BK, Mayfield H., Kromann PR, Faruque A.//Analytical Chemistry.- 1995. - Vol. 67 (21).- P. 3846-3852.

. Werther W. Classification of mass spectra: A comparison of yes/no classification methods for the recognition of simple structural properties/Werther W., Lohninger H., Stancl F. and Varmuza K.//Chemometrics and Intelligent Laboratory Systems.- 1994. - Vol. 22, No. 1. - P. 63-76.

. Turchenko I. Accurate Recognition of Multi-Sensor Output Signal Using Modular Neural Networks/Turchenko I., Kochan V., Sachenko A.//International Journal of Information Technology and Intelligent Computing.- 2007. - Vol. 2, No. 1. - P. 27- 47.

. Tou JT Pattern Recognition Principles/Tou JT, Gonzalez RC - Reading, MA: Addison-Wesley, 1974.

. Duda RO Pattern Classification and Scene Analysis/Duda RO, Hart PE - New York: Wiley, 1973.

. Bishop CM Neural Networks for Pattern Recognition/Bishop CM - New York: Oxford University Press, 1995.

. Chtioui Y. Reduction of the size of the learning data in a probabilistic neural network by hierarchical clustering. Application to the discrimination of seeds by artificial vision/Chtioui Y., Bertrand D., Barba D.//Chemometrics and Intelligent Laboratory Systems.- 1996. - Vol. 35, No. 2. - P. 175-186.

. Specht DF Probabilistic neural networks/Specht DF//Neural Networks.- 1990. - Vol. 3, No. 1. - P. 109-118.

. Kohonen T. Self-organizing maps/Kohonen T. - 2nd edition.- Berlin, Springer- Verlag, 1997. - 501 P.

. Shaffer RE A comparison study of chemical sensor array pattern recognition algorithms/Shaffer RE, Rose-Pehrsson SL, McGill AR// Analytica Chimica Acta.- 1999. - Vol. 384, No. 3. - P. 305-317.

. Turchenko V. Estimation of Computational Complexity of Sensor Accuracy Improvement Algorithm Based on Neural Networks/Turchenko V., Kochan V., Sachenko A.//Ed. G.Dorffner, H.Bischof, and K.Hornik//Lecture Notes in Computing Science, Springer-Verlag.- 2001. - No. 2130. - P. 743-748.

. Bangalore AS Automated Detection of Trichloroethylene by Fourier Transform Infrared Remote Sensing Measurements/Bangalore AS, Small GW, Combs RJ, Knapp R. B, Kroutil RT//Analytical Chemistry.- 1997. - Vol. 69, No. 2. - P. 118-129.

. Daqi G. An electronic nose and modular radial basis function network classifiers for recognizing multiple fragrant materials/Daqi G., Shuyan W., Yan J.//Sensors and Actuators B. - 2004. - Vol. 97, No. 2-3.- P. 391-401.

. Zhang H. Improving pattern recognition of electronic nose data with time-delay neural networks/Zhang H., Balaban M., Principe J.//Sensors and Actuators B. - 2003. - Vol. 96, No. 1-2.- P. 385-389.

. Llobet E. Building parsimonious fuzzy A RTMAP models by variable selection with a cascaded genetic algorithm: application to multisensor systems for gas analysis/Llobet E., Brezmes J., Gualdr? N O., Vilanova X., Correig X.//Sensors and Actuators B. - 2004. - Vol. 99, No. 2-3.- P. 267-272.

. Ortega A. An intelligent detector based on temperature modulation of a gas sensor with a digital signal processor/Ortega A., Marco S., Perera A., Sundic T., Pardo A., Samitier J.//Sensors and Actuators B.- 2001. - Vol. 78, No. 1-3.- P. 32-39.

. Guo D. Application of artificial neural network technique to the formulation design of dielectric ceramics/Guo D., Wang Y., Nan C., Li L., Xia J.//Sensors and Actuators A. - 2002. - Vol. 102, No. 1-2.- P. 93-98.

. Luo D. Application of ANN with extracted parameters from an electronic nose in cigarette brand identification/Luo D., Hosseini G., Stewart J.//Sensors and Actuators B. - 2004. - Vol. 99, No. 2-3.- P. 253-257.

. Martin M. Application of artificial neural networks to calculate the partial gas co ncentrations ...


Назад | сторінка 16 з 19 | Наступна сторінка





Схожі реферати:

  • Реферат на тему: Magnetic nanoparticles - fabrication, analysis and application
  • Реферат на тему: A critical evaluation of infrared analysis and mass spectrometry in forensi ...
  • Реферат на тему: A Critical evaluation of infrared analysis and mass spectrometry in forensi ...
  • Реферат на тему: Application requirements of international institutions to organizations of ...
  • Реферат на тему: Theoretical aspects of degrees comparison. Comparativa analysis of degrees ...