The basic ideas in neural networks

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The basic ideas in neural networks

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Communications of the ACM archive
Volume 37 , Issue 3 (March 1994) table of contents

Pages: 87 - 92

Year of Publication: 1994

ISSN:0001-0782

Authors

David E. Rumelhart	Stanford Univ., Stanford, CA
Bernard Widrow	Stanford Univ., Stanford, CA
Michael A. Lehr	Stanford Univ., Stanford, CA

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 30, Downloads (12 Months): 247, Citation Count: 13

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references cited by index terms review collaborative colleagues

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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	Cohen, M.N. and Grossberg, S. Absolute stability of global pattern formation and parallel memory storage by competitive neural networks. IEEE Trans. Man Cybernet. 13 (1983).
	2	Curry, B. and Rumethart, D.E. MSNET: A neural network that classities mass spectra. H PL "I~ch. Rep. 90- 16, MPI..
	3	Grossberg, S. Adaptive pattern classification and universal recoding: Part Parallel development and .coding of neural feature detectors. Bio. Cybeme~. 23 (I976), 1121-I34.
	4	Hebb, D.O. The ONanization of Beluzv-. ior. Wiley, New York, 1949.
	5	G. E. Hinton , T. J. Sejnowski, Learning and relearning in Boltzmann machines, Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations, MIT Press, Cambridge, MA, 1986
	6	Hoptield, JJ. Neural networks and physical systems with emergent collective computational abilities. In Proceedings of the National Academy 0f Sciences, :USA. Vol. 79. National Academy of Sciences, Washington, D.C., 19:82.
	7	McCulloch, W.S. and Pitts, W. A logical calculus of the ideas imminent in nervous activity. Bull. Math. Biophys. 5, 115-I33.
	8	Minsky, M. and Papert, S. Perceptrons. M IT Press, Cambridge, Mass., 1969.
	9	Rosenblatt, E Principles of Neurodynamics. Spartan,. New York, 19,62.
	10	R.umelhart, D.E. Theory to pm.ctice: A case study-Recognizing lsjij hand writing. In Proceedings of teh Third NEC Research Symposium. SIAM. 1993.
	11	D. E. Rumelhart , G. E. Hinton , R. J. Williams, Learning internal representations by error propagation, Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations, MIT Press, Cambridge, MA, 1986
	12	J. L. McClelland , D. E. Rumelhart , G. E. Hinton, The appeal of parallel distributed processing, Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations, MIT Press, Cambridge, MA, 1986
	13	Selfridge, o.G. Pattern recognition in modern computers. In Proceedings of the western joint computer conference ACM New York. 1955.
	14	P. Smolensky, Information processing in dynamical systems: foundations of harmony theory, Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations, MIT Press, Cambridge, MA, 1986
	15	Andreas S. Weigend , David E. Rumelhart , Barnardo A. Huberman, Generalization by weight-elimination with application to forecasting, Proceedings of the 1990 conference on Advances in neural information processing systems 3, p.875-882, October 1990, Denver, Colorado, United States
	16	Werbos. P. Beyond Regression: New Tools for prediction and Analysis in the Behavirol Sciences. Harvard. univ- Cambridge, Mass.
	17	Window, b. and Hoff, M.E. Adaptive switching circuits. In Institute of radio Engineers, Western Electrnnic Show and convention, convention record. Part 4. Inst. Radio Eng., 1960, pp. 96-104.
	18	David E. Rumelhart , Bernard Widrow , Michael A. Lehr, The basic ideas in neural networks, Communications of the ACM, v.37 n.3, p.87-92, March 1994 [doi>10.1145/175247.175256]

CITED BY 13

	David E. Rumelhart , Bernard Widrow , Michael A. Lehr, The basic ideas in neural networks, Communications of the ACM, v.37 n.3, p.87-92, March 1994
	Jerry Fails , Dan Olsen, A design tool for camera-based interaction, Proceedings of the SIGCHI conference on Human factors in computing systems, April 05-10, 2003, Ft. Lauderdale, Florida, USA
	Jerry Alan Fails , Dan R. Olsen, Jr., Interactive machine learning, Proceedings of the 8th international conference on Intelligent user interfaces, January 12-15, 2003, Miami, Florida, USA
	Gautam Pant , Padmini Srinivasan, Learning to crawl: Comparing classification schemes, ACM Transactions on Information Systems (TOIS), v.23 n.4, p.430-462, October 2005
	Ajay K. Aggarwal , Dinesh S. Dave, Decision maker friendly approach for pricing software, International Journal of Computer Applications in Technology, v.36 n.1, p.60-66, June 2009
	K. W. Chau, Reliability and performance-based design by artificial neural network, Advances in Engineering Software, v.38 n.3, p.145-149, March, 2007
	M. T. Martín-Valdivia , L. A. Ureña-López , M. García-Vega, The learning vector quantization algorithm applied to automatic text classification tasks, Neural Networks, v.20 n.6, p.748-756, August, 2007
	Kenneth M. Lane , Richard D. Neidinger, Neural networks from idea to implementation, ACM SIGAPL APL Quote Quad, v.25 n.3, p.27-37, March 1995
	Dinesh S. Dave , Ajay K. Aggarwal , Chandrashekar D. Challa, Pricing analysis of decision-making software: modelling and Artificial Intelligence approaches, International Journal of Computer Applications in Technology, v.26 n.4, p.175-181, August 2006
	Nik R. Hassan , Shee Q. Wong, The relationship between market sentiment and equity premium: an artificial neural network analysis, International Journal of Electronic Finance, v.2 n.2, p.227-240, March 2008
	José Manuel Mesa Fernández , Valeriano Álvarez Cabal , Vicente Rodríguez Montequin , Joaquín Villanueva Balsera, Online estimation of electric arc furnace tap temperature by using fuzzy neural networks, Engineering Applications of Artificial Intelligence, v.21 n.7, p.1001-1012, October, 2008
	Mahmut Kayar , Yelda Ozel, Using neural network method to solve marker making "calculation of fabric lays quantities" efficiency for optimum result in the apparel industry, Proceedings of the 8th conference on Simulation, modelling and optimization, p.219-223, September 23-25, 2008, Santander, Cantabria, Spain
	Lean Yu , Shouyang Wang , K. K. Lai, An Integrated Data Preparation Scheme for Neural Network Data Analysis, IEEE Transactions on Knowledge and Data Engineering, v.18 n.2, p.217-230, February 2006

INDEX TERMS

Primary Classification:
F. Theory of Computation
F.1 COMPUTATION BY ABSTRACT DEVICES
F.1.1 Models of Computation
Subjects: Self-modifying machines (e.g., neural networks)

Additional Classification:
A. General Literature

C. Computer Systems Organization
C.1 PROCESSOR ARCHITECTURES
C.1.3 Other Architecture Styles
Subjects: Neural nets

I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.6 Learning
Subjects: Connectionism and neural nets

General Terms:
Design, Theory

REVIEW

"Jaak Tepandi : Reviewer"

A long list of scientists motivated to work in the neural network area begins this introductory paper. The paper proceeds with an overview of a basic model of a neuron, a sketch of a brain-like computational device, and a historical overview o more...

Collaborative Colleagues:

David E. Rumelhart: colleagues

Bernard Widrow: colleagues

Michael A. Lehr: colleagues

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