Two neural network programming assignments using arrays

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Two neural network programming assignments using arrays

Full text

Pdf (459 KB)

Source

Technical Symposium on Computer Science Education archive
Proceedings of the twenty-second SIGCSE technical symposium on Computer science education table of contents

San Antonio, Texas, United States

Pages: 43 - 47

Year of Publication: 1991

ISBN:0-89791-377-9

Also published in ...

Authors

Susan R. Wallace
F. Layne Wallace

Sponsor

SIGCSE: ACM Special Interest Group on Computer Science Education

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 25, Citation Count: 2

Additional Information:

references cited by index terms collaborative colleagues peer to peer

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/107004.107014 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	William F. Allman, Apprentices of wonder: inside the neural network revolution, Bantam Books, Inc., New York, NY, 1989
	2	Maureen Caudill , Charles Butler, Naturally intelligent systems, MIT Press, Cambridge, MA, 1990
	3	Hecht-Nielsen, R., Neurocoml0utinff, Addison-Wesley Publishing Company, New York, 1990.
	4	Helton, T., "Synopsis of a Synaptic Event," A...!I Expert, December, 1989, pp. 43-46.
	5	Kosko, B., Bi-directional associative memories, IEEE International Conference on Neural Networks, vol 1. San Diego, CA, 1987, pp. 181-190.
	6	William P. Jones , Josiah Hoskins, Back-propagation, BYTE, v.12 n.11, p.155-162, Oct. 1987
	7	James L. McClelland , David E. Rumelhart, Explorations in parallel distributed processing: a handbook of models, programs, and exercises, MIT Press, Cambridge, MA, 1988
	8	McCulloch, W. and Pitts, W., A logical calculus of the ideas immanent in nervous activity, Bulletin of Mathematical Biophysics, 5, 1943, pp. 115-133.
	9	David E. Rumelhart , James L. McClelland , CORPORATE PDP Research Group, Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations, MIT Press, Cambridge, MA, 1986
	10	T. J. Schwartz, 8 parables of neural networks, AI Expert, v.4 n.12, p.54-59, Dec. 1989
	11	Sejnowski, T., and Rosenberg, C., "Parallel Networks that Learn to Pronounce English Text," ~ System_ s, vol__..~. 1, 1987, pp. 145-168.
	12	P. D. Wasserman, Neural computing: theory and practice, Van Nostrand Reinhold Co., New York, NY, 1989

CITED BY 2

	John G. Keating, Hopfield networks, neural data structures and the nine flies problem: neural network programming projects for undergraduates, ACM SIGCSE Bulletin, v.25 n.4, p.33-37, Dec. 1993
	Viera K. Proulx , Richard Rasala , Harriet Fell, Foundations of computer science: what are they and how do we teach them?, ACM SIGCSE Bulletin, v.28 n.SI, p.42-48, 1996