Piecewise linear approximation applied to nonlinear function of a neural network

IEE Proceedings: Circuits, Devices and Systems

Volumn 144, Issue 6, 1997, Pages 313-317

  Amin, H ^a   Curtis, K M ^a   Hayes Gill, B R ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER GRAPHICS; COMPUTER HARDWARE DESCRIPTION LANGUAGES; DIGITAL CIRCUITS; FUNCTIONS; MATHEMATICAL TRANSFORMATIONS; PIECEWISE LINEAR TECHNIQUES; UNIX;

PIECEWISE LINEAR APPROXIMATION OF A NONLINEAR FUNCTION (PLAN); VERILOG HARDWARE DESCRIPTION LANGUAGE (VHDL);

NEURAL NETWORKS;

EID: 0031351285     PISSN: 13502409     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-cds:19971587     Document Type: Article

References (8)

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3. NORDSTROM, T., and SVENSON, B.: 'Using and designing massively parallel computers for artificial neural networks', J. Parallel Distrib. Comput., 1992, 14, pp. 260-285
4. SAMMUT, K.M., and JONES, S.R.: 'Implementing nonlinear activation function in neural network emulatiors', Electron. Lett., 1991, 27, (12), pp. 1037-1038
5. MAYERS, D.J., and HUTCHINSON, R.A.: 'Efficient implementation of piecewise linear activation function for digital VLSI neural networks', Electron. Lett., 1989, 25, (24), pp. 1661-1662
6. FAHLMAN, S.E.: 'An imperical study of learning speed in backpropagation networks'. Technical report CMU-CS-88-162, Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA, June 1988
7. LIPSETT, R., SCHAEFER, C, and USSERY, C.: 'VHDL: hardware description and design' (Kluwer, 1989)
8. RUMELHART, D.E., HINTON, G.E., and WILLIAMS, R.J.: 'Learning internal representations by error propagation' in RUMELHART, D.E., and McCLELLAND, J.L. (Eds.): 'Parallel distributed processing: explorations in the microstructures of cognition' (MIT press, Cambridge, MA, 1986), pp.318-362