Neuronetwork Converters Structures Realization of Voltage in the Code on Programmable Analog Integrated Schemes
Authors: Chelebaev S.V., Antonenko A.V. | Published: 08.02.2015 |
Published in issue: #1(100)/2015 | |
DOI: 10.18698/0236-3933-2015-1-22-33 | |
Category: Radio Engineering and Communication | |
Keywords: analog-digital neuronetwork, converter, voltage, code, programmable analog integrated scheme |
The authors have described: the choice neuronetwork structures for converters of voltage in a digital code for their subsequent realization on the programmable analog integrated schemes (PAIS); development of functional scheme of the neuronetwork converter of voltage in a digital code on PAIS; training of the neuronetwork converter of voltage in a digital code for its realization on PAIS; programming of the neuronetwork converter of voltage in a digital code on the basis of PAIS and simulation of operation for the neuronetwork converter of voltage in a digital code on PAIS.
References
[1] Tank D.W., Hopfield J.J. Simple "neural" optimization networks: an A/D converter, signal decision circuit and a linear programming circuit. IEEE Transactions on Circuit and Systems, 1986, vol. CAS-33, iss. 5, pp. 533-541. DOI: 10.1109/TCS.1986.1085953
[2] Lee Bang W., Shen Bing J. Design of a neural-based A/D converter using modified Hopfield Network. IEEE Journal of Solid-State Circuits, 1989, vol. SC-24, iss. 4, pp. 1120-1135. DOI: 10.1109/4.34101
[3] Avitabile G., Forti M., Manetti S., Marini M. On a class of nonsymmetrical neural networks with application to ADC. IEEE Transactions on Circuit and Systems, 1991, vol. CAS-38, iss. 2, pp. 202-209. DOI: 10.1109/31.68298
[4] Loktyukhin V.N., Antonenko A.V., Chelebaev S.V. Technique for structural synthesis of neurons-converters of analog-digital neural network. Vestn. Mosk. Gos. Tekh. Univ. im. N. E. Baumana, Priborostr. [Herald of the Bauman Moscow State Tech. Univ., Instrum. Eng.], 2013, no. 4, pp. 101-114 (in Russ.).
[5] Boltunov E.V. Neural network extension method of ADC dynamic range at control systems of technical condition of machinery. Narodn. khozyaystvo. Voprosy innovatsionnogo razvitiya [Nat. econ. Quest. of innovation development], 2012, no. 5, pp. 54-62 (in Russ.).
[6] Boltunov E.V. Neural network extension method of ADC dynamic range. Perspektivy razvitiya IT [Development prospects of IT], 2011, no. 4, pp. 79-83 (in Russ.).
[7] Loktyukhin V.N., Chelebaev S.V., A.I. Galushkin, eds. Neyrosetevye preobrazovateli impul’sno-analogovoy informatsii: organizatsiya, sintez, realizatsiya [Neural converters of pulse-analog information: organization, synthesis, realization]. Moscow, Goryachaya liniya-Telekom Publ., 2008. 144 p.
[8] Ossowski S. Sieci neuronowe do przetwarzania informacji. Warsaw, Poland, Of. Ed. Pol. Warsaw, 2000 (in Polish). (Russ. ed.: Osovskiy S. Neyronnye seti dlya obrabotki informatsii [Neural networks for information processing]. Moscow, Finansy i statistika Publ., 2002. 344 p.).
[9] Yasnitskiy L.N. Vvedenie v iskusstvennyy intellect [Introduction to artificial intelligence]. Moscow, Izdatel’skiy tsentr "Akademiya" Publ., 2005. 176 p.
[10] Shcherba A. Construction of input and output circuits of programmable analog scheme PAIS Anadigm. Komponenty i tekhnologii [Components & Technologies], 2008, no. 12, pp. 16-18 (in Russ.).
[11] Shcherba A. Recommendations for the design of printed circuit board for dynamically programmable analog scheme Anadigm. Komponenty i tekhnologii [Components & Technologies], 2011, no. 11, pp. 57-60 (in Russ.).
[12] Polishchuk A. Anadigm’s Programmable Analog ICs. Analog Signals Processing Second Wind Elektronika: nauka, tekhnologiya, biznes [Electronika: NTB], 2005, no. 3, pp. 24-29 (in Russ.).
[13] Shcherba A. Anadigm’s Programmable Analog ICs: the use of configurable analog modules at the program AnadigmDesigner2. Komponenty i tekhnologii [Components & Technologies], 2007, no. 12, pp. 12-18 (in Russ.).
[14] Lecture no. 3 "Analog-to-digital and digital-to-analog conversion". Site of department of electrical and precision electromechanical systems (ITMO University, St. Petersburg, Russia). Available at: http://www.ets.ifmo.ru/denisov/dsp/lec3.htm (accessed 01.11.2014).