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Part of the book series: Research Reports ESPRIT ((ANNIE,volume 1))

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Abstract

This chapter presents an overview of the methods currently in use for the implementation of neural networks. The simulators developed within ANNIE are also covered here. Possible hardware (VLSI) simulators are also discussed.

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References

  • Annaratone M (1986) Digital CMOS circuit design. Kluwer Academic Publishers

    Google Scholar 

  • Dowla F U, DeGroot A J, Parker S R and Vermuri V R (1989) Bacpropagation neural networks: Systolic implementation for seismic signal filtering. Int J Neural Networks, Research and Applications 1 1, 138–153

    Google Scholar 

  • Geiger R L, Allen P E and Strader N R (1990) VLSI design techniques for analog and digital circuits. McGraw-Hill

    Google Scholar 

  • Gentleman W M and Kung H T (1982) Matrix triangularisation by systolic arrays. Proc SPIE 298, Realtime signal processing IV, Society of photo-optical instrumentation engineers

    Google Scholar 

  • Haynes LS, Lau R L, Siewiorek D P and Mizell D W (1982) A survey of highly parallel computing. IEEE Computer 15, 1, 9–25

    Article  Google Scholar 

  • Jackel L D, Howard R E, Denker J S, Hubbard W and Sola S A (1987) Building a hierarchy with neural networks: An example-image vector quantization. Applied Optics 26, 23, 5081–5084

    Article  Google Scholar 

  • Dowla F U, DeGroot A J, Parker S R and Vermuri V R (1989) Bacpropagation neural networks: Systolic implementation for seismic signal filtering. Int J Neural Networks, Research and Applications 1 1, 138–153

    Google Scholar 

  • Kung S Y and Hwang J N (1988) Simulated annealing: Theory and applications. D Reidel Publishing

    Google Scholar 

  • McLean W J (ed) (1991a) ASIC OUTLOOK 1991: An application specific IC report and directory. Integrated Circuit Engineering Corporation, Scottsdale, Arizona, USA

    Google Scholar 

  • McLean W J (ed (1991b) STATUS 1991: A report on the integrated circuit industry. Integrated Circuit Engineering Corporation, Scottsdale, Arizona, USA

    Google Scholar 

  • Milian J Del R and Bofill P (1989) Learning by backpropagation: A systolic algorithm and its transputer implementation. Int J Neural Networks, Research and Applications 1, 3, 119–137

    Google Scholar 

  • Murray A F and Smith A V W (198) Asynchronous VLSI neural networks using pulse stream arithmetic. IEEE Journal of Solid-state circuits and systems 23, 3, 688–697

    Google Scholar 

  • Murray A F Hamilton A and Tarassenko L (1989) Analogue VLSI neural networks (pulse stream implementations). Journée d’Électronique 1989, 265–277

    Google Scholar 

  • Przytula K W (1988) A survey of VLSI iplementations of artificial neural networks. In R W Brodersen and H S Moscovitz (ed) VLSI Signal Processing III, IEEE Press, 221–231

    Google Scholar 

  • Murray A F Hamilton A and Tarassenko L (1989) Analogue VLSI neural networks (pulse stream implementations). Journée d’Électronique 1989, 265–277

    Google Scholar 

  • Rumelhart D E, McClelland J L and the PDP Research Group (1986) Parallel distributed processing: Explorations in the microstructure of cognition 1 and 2, Bradford Books, MIT Press, Cambridge, Massachusetts, USA

    Google Scholar 

  • Weste N and Eshraghian K (1985) Principles of CMOS VLSI Design. Addison-Wesley

    Google Scholar 

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© 1992 ECSC — EEC — EAEC, Brussels — Luxembourg

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Croall, I.F., Mason, J.P. (1992). Implementations of Neural Networks. In: Croall, I.F., Mason, J.P. (eds) Industrial Applications of Neural Networks. Research Reports ESPRIT, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84837-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-84837-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55875-0

  • Online ISBN: 978-3-642-84837-7

  • eBook Packages: Springer Book Archive

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