Neural networks

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Neural networks: applications in industry, business and science

Full text

Pdf (4.19 MB)

Source

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

Pages: 93 - 105

Year of Publication: 1994

ISSN:0001-0782

Authors

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

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 76, Downloads (12 Months): 383, Citation Count: 17

Additional Information:

references cited by index terms review collaborative colleagues

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/10.1145/175247.175257 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	AI Expert. Loudspeaker diagnosis~ 5, (June 1990), 71.
	2	Andes, D., Widrow, Bo, l.ehr, M., and Wan, E. MRIII: A robust a\|gorithm fi)r training analog neural networks. In Pro ceediTugs of the Intertational Joint Coeels:e on Neural Networks. Vot. I. ErlbaHn, Hilinale, N.J., pp. 533- 536.
	3	Ecomomist. Tilting at chaos. (Aug, 15, 1992), 70.
	4	Ferguson, R.B. Cher, lical process optimization utilizing neural network systems. In MCHI~M '92 (Seoul, Korea). Erlbaum, Hillsdale, N.J., 1992.
	5	Flare, F. Neural nets: A new way to catch elusive particles. Science 256, 5061 (May 29, 1992):, 1282-1283.
	6	Fuochi, A. Neural networks: No zealots yet t progress being made. Cornput. Can. 18, 2 (Jan, 20, 1992), 16.
	7	Gill, . mid Shutt, j. Optimizing product formulations using neural networks. Sci. Comput. Automat. (Sept. I992).
	8	IEEE Expert staff, Neural net technology: Ready for prime time?, IEEE Expert: Intelligent Systems and Their Applications, v.7 n.6, p.2-4, December 1992
	9	Dan Hammerstrom, Neural networks at work, IEEE Spectrum, v.30 n.6, p.26-32, June 1993 [doi>10.1109/6.214579]
	10	Hoffman, T, Don't choose technof ogy without him. Computerworld 27, 4 }an. 25, 1993), 27.
	11	R. Colin Johnson, What is cognitive computing?, Dr. Dobb's Journal, v.18 n.2, p.18-24, Feb. 1993
	12	Kane, I..A. How combined technologies aid model-based control, llydrocarbon Proc. (May 1993), 23.
	13	Keeler, J.D. Prediction and control of chaotic chemical reactions via :neural network mlels. In ProceedinU of the 19:93 Conference on Artificial Intdligence in Petro.#um Exploration and Pro: duction (Piano, Tex., May 19-22,
	14	Kesteiyn, J. Neural net for quality control. AI Exp. 5, 10 (t, 1990), 71.
	15	Nguyen, D. and Widrow, B. The truck backer-upper: An example of self-learning in neural networks. In Proceedings of the International Joint Canference on Neural Networks. Vol. l 1. Erlbaum, Hiilsdale, N.J., pp. 357- 363.
	16	Pallett, T.J. and Ahmad, S. Real-time neural network control of a miniature helicopter in vertical flight. In Proceedings oJ the Seventeenth International Conference on Applications of Artificial Intelligence in Engineering~ AIENG/92 (Waterhx, Ontario, Canada, i992).
	17	PC AL Product guide: Fuzzy logic neural networks. (Mar./Apr. I993), 52-56.
	18	Port, O. Sure, :it can drive, but how is it at changing tires. Bu.,. Week (Mar. 2, 1992), 98-99.
	19	Retmie, J. Cancer catcher: Neural net catches errors that slip through pap tests. Sci. Am. 262, 5 (May 1990), 84.
	20	Rmnelhart, D.E. Theory to practice: A case study-recognizing cursive hardwriting. In Proceedings Of the Third NEC Research Symposium. SIAM, Philadelphia, Pa., 1993.
	21	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
	22	Samlter, I).G., Barrett, T.K., Palmer, I).A., Fugate, R.Q., and Wiht, W.I. Use of a neural network to control an adaptive optics system for an astronomical telescotx:. N.ature 351 (May 1991 ), 300-302.
	23	Schuon, M. New teclmology chips away at noise, New York lmes (Jan. 27, 1991). Natiortai Fdition, sec. l, p. 30..
	24	Schwartz, E.I. Where ueural networks are already at work: Putting AI to work :in the markets. Bua. Week (Nov. 2, 1992), 136-137.
	25	Schwartz, E.I. and Treece, J.B. Smart programs go to work: How appliedintelligence software makes decisions for the real world. Bus. Week (Mar. 2, 1992), 97-105.
	26	Shandle, J. Neural networks are ready for prime time. Elect. Des. 41, 4 (Feb. 18, 1993), 51-58.
	27	Shea, P.M. and Lin, V. Detection of explosives in checked airline baggage using an artificial neural system. In Proceedings of the International Joint Con ference on Neural Networks. Vol. I I (Washington, D.C., June 1989), pp. 31-34.
	28	Staib, W.E. and Staib, R.B. The inteltigelle arc furnace controller: A neural network electrode position optimization system for the electric, arc furnace. In the InternatitmalJomt Confo'ence on Neural Networks. iEEE, New York. 1992.
	29	Weinstein, J.N., Kohn, K.W., Grever, M.R., Viswaimdhan, V.N., Rubinstein, L.V., Monks, A.P., Scudiero, D.A., Welch, L., Koutsoukos, A.D., Chiausa, A.J., and Paull, K.D. Neural computing in cancer drug development: Predicting mechaaism of acdon. Science 258, 1i6 (Oct. 1992), 447- 451.
	30	Werlxis, P.J. Neural networks, systel:n identification, and control in the chemical process industries. In Ha,~M- book of lnteUigent Control. Van Nostrand Reinhokt, New York, 1992.
	31	Widrow, B. and l.ehr, M.A. Thirff years of adaptive neural networks: Perceptvon, madaline, and backpropagation. In Proceedings of IEEE 78, 9 (Sept. 1990), pp. 1415-1442.
	32	Bernard Widrow , Samuel D. Stearns, Adaptive signal processing, Prentice-Hall, Inc., Upper Saddle River, NJ, 1985
	33	White, D.A. and Sofge, D.A., Eds. Handbook o.f Intelligent Control. Van Nostrand Reinhold, New York, 1992.
	34	David P. Wright , Christopher L. Scofield, Divide and conquer, BYTE, v.16 n.4, p.207-210, April 1991

CITED BY 18

	Narasimha Bolloju, Effectiveness of a neuro-fuzzy classifier in automated modeling of classification problem-solving knowledge: a quasi-experiment, Proceedings of the eighteenth international conference on Information systems, p.505-506, December 14-17, 1997, Atlanta, Georgia, United States
	Derek Partridge, Non-programmed computation, Communications of the ACM, v.43 n.11es, Nov. 2000
	Irma Becerra-Fernandez , Stelios H. Zanakis , Steven Walczak, Knowledge discovery techniques for predicting country investment risk, Computers and Industrial Engineering, v.43 n.4, p.787-800, September 2002
	Steven Walczak , Irena Yegorova , Bruce H. Andrews, The effect of training set distributions for supervised learning artificial neural networks on classification accuracy, Information management: support systems & multimedia technology, Idea Group Publishing, Hershey, PA, 2003
	Lorenza Saitta , Filippo Neri, Learning in the “Real World”, Machine Learning, v.30 n.2-3, p.133-163, Feb./ March, 1998
	Zan Huang , Hsinchun Chen , Chia-Jung Hsu , Wun-Hwa Chen , Soushan Wu, Credit rating analysis with support vector machines and neural networks: a market comparative study, Decision Support Systems, v.37 n.4, p.543-558, September 2004
	Steven Walczak, Gaining competitive advantage for trading in emerging capital markets with neural networks, Journal of Management Information Systems, v.16 n.2, p.177-192, September 1999
	Sven F. Crone , Dieter B. Preßmar, An extended evaluation framework for neural network publications in sales forecasting, Proceedings of the 24th IASTED international conference on Artificial intelligence and applications, p.179-186, February 13-16, 2006, Innsbruck, Austria
	Luigi Bedini , Anna Tonazzini , Salvatore Minutoli, A neural architecture for fully data driven edge-preserving image restoration, Integrated Computer-Aided Engineering, v.7 n.1, p.1-18, January 2000
	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
	Steven Walczak, An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks, Journal of Management Information Systems, v.17 n.4, p.203-222, Number 4/Spring 2001
	Carla E. Brodley , Padhraic Smyth, Applying classification algorithms in practice, Statistics and Computing, v.7 n.1, p.45-56, 1997
	M. Georgeff , N. Azarmi, What Has AI Done for Us?, BT Technology Journal, v.21 n.4, p.15-22, 2003
	Tiffany Hui-Kuang Yu , Kun-Huang Huarng, A bivariate fuzzy time series model to forecast the TAIEX, Expert Systems with Applications: An International Journal, v.34 n.4, p.2945-2952, May, 2008
	Wen-Chin Chen , Gong-Loung Fu , Pei-Hao Tai , Wei-Jaw Deng, Process parameter optimization for MIMO plastic injection molding via soft computing, Expert Systems with Applications: An International Journal, v.36 n.2, p.1114-1122, March, 2009
	Amin Farmahini-Farahani , Sied Mehdi Fakhraie , Saeed Safari, Scalable architecture for on-chip neural network training using swarm intelligence, Proceedings of the conference on Design, automation and test in Europe, March 10-14, 2008, Munich, Germany
	Arun Sharma , P. S. Grover , Rajesh Kumar, Reusability assessment for software components, ACM SIGSOFT Software Engineering Notes, v.34 n.2, March 2009
	Michael J. Watts, A decade of Kasabov's evolving connectionist systems: a review, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, v.39 n.3, p.253-269, May 2009

INDEX TERMS

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

Additional Classification:
A. General Literature
A.1 INTRODUCTORY AND SURVEY

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

I. Computing Methodologies
I.5 PATTERN RECOGNITION
I.5.1 Models
Subjects: Neural nets

General Terms:
Design, Theory

REVIEW

"Daniel L. Chester : Reviewer"

Neural networks are increasingly found in commercial products and services, and in production and laboratory facilities in science and industry. The first part of this paper briefly describes representative examples of such applica more...

Collaborative Colleagues:

Bernard Widrow: colleagues

David E. Rumelhart: colleagues

Michael A. Lehr: colleagues

Adobe Acrobat

QuickTime

Windows Media Player

Real Player