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The appeal of parallel distributed processing
Source Mit Press Computational Models Of Cognition And Perception Series archive
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations book contents
Pages: 3 - 44  
Year of Publication: 1986
ISBN:0-262-68053-X
Authors
J. L. McClelland
D. E. Rumelhart
G. E. Hinton
Publisher
MIT Press  Cambridge, MA, USA
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 38
Additional Information:

cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  

CITED BY  38
Vladimir Cherkassky , Karen Fassett , Nikolaos Vassilas, Linear Algebra Approach to Neural Associative Memories and Noise performance of Neural Classifiers, IEEE Transactions on Computers, v.40 n.12, p.1429-1435, December 1991
Youngohc Yoon , Lynn L. Peterson, Artificial neural networks: an emerging new technique, Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems, p.417-422, October 30-November 02, 1990, Orlando, Florida, United States
James J. Tarng , Qiongsen Yu , Kevin D. Reilly, A digital conference like software tool for PDP programs, Proceedings of the 1995 ACM symposium on Applied computing, p.406-410, February 26-28, 1995, Nashville, Tennessee, United States
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
James A. Pittman, Recognizing handwritten text, Proceedings of the SIGCHI conference on Human factors in computing systems: Reaching through technology, p.271-275, April 27-May 02, 1991, New Orleans, Louisiana, United States
Craig Stanfill , David Waltz, Toward memory-based reasoning, Communications of the ACM, v.29 n.12, p.1213-1228, Dec. 1986
Adel M. Abunawass, Biologically based machine learning paradigms: an introductory course, ACM SIGCSE Bulletin, v.24 n.1, p.87-91, March 1992
Pekka Orponen, Computational complexity of neural networks: a survey, Nordic Journal of Computing, v.1 n.1, p.94-110, Spring 1994
Thomas S. Gruca , Bruce R. Klemz , E. Ann Furr Petersen, Mining sales data using a neural network model of market response, ACM SIGKDD Explorations Newsletter, v.1 n.1, p.39-43, June 1999
Raphaël Duboz , Éric Ramat , Philippe Preux, Scale transfer modeling: using emergent computation for coupling an ordinary differential equation system with a reactive agent model, Systems Analysis Modelling Simulation, v.43 n.6, p.793-814, June 2003
Terrence J. Sejnowski, Language learning in massively-parallel networks, Proceedings of the 24th annual meeting on Association for Computational Linguistics, July 10-13, 1986, New York, New York
Bernard E. Boser , Eduard Sackinger , Jane Bromley , Yann leCun , Lawrence D. Jackel, Hardware Requirements for Neural Network Pattern Classifiers: A Case Study and Implementation, IEEE Micro, v.12 n.1, p.32-40, January 1992
Huck Turner, An introduction to methods for simulating the evolution of language, Simulating the evolution of language, Springer-Verlag New York, Inc., New York, NY, 2002
Giovanni Huisken, Soft-computing techniques applied to short-term traffic flow forecasting, Systems Analysis Modelling Simulation, v.43 n.2, p.165-173, February 2003
Srinivas Gazula , Mansur R. Kabuka, Design of Supervised Classifiers Using Boolean Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.12, p.1239-1246, December 1995
Reynald Hoskinson , Kees van den Doel , Sidney Fels, Real-time adaptive control of modal synthesis, Proceedings of the 2003 conference on New interfaces for musical expression, May 22-24, 2003, Montreal, Quebec, Canada
A. Califano , R. Mohan, Multidimensional Indexing for Recognizing Visual Shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.4, p.373-392, April 1994
Marie Cottrell , Smail Ibbou , Patrick Letrémy, SOM-based algorithms for qualitative variables, Neural Networks, v.17 n.8-9, p.1149-1167, October/November 2004
Lundy M. Lewis, A time-ordered architecture for integrating reflexive and deliberative behavior, ACM SIGART Bulletin, v.2 n.4, p.110-114, Aug. 1991
Luis Mateus Rocha , Wim Hordijk, Material Representations: From the Genetic Code to the Evolution of Cellular Automata, Artificial Life, v.11 n.1, p.189-214, January 2005
J. Gary Polhill , Michael K. Weir, An approach to guaranteeing generalisation in neural networks, Neural Networks, v.14 n.8, p.1035-1048, October 2001
W. Bradford Davis , Ray Hefferlin, Neural networks in mining molecular properties from tabulated data, Proceedings of the 9th WSEAS International Conference on Computers, p.1-3, July 14-16, 2005, Athens, Greece
Mohamed Salah Hamdi, MASACAD: A multi-agent approach to information customization for the purpose of academic advising of students, Applied Soft Computing, v.7 n.3, p.746-771, June, 2007
Yi L. Murphey , Hong Guo , Lee A. Feldkamp, Neural Learning from Unbalanced Data, Applied Intelligence, v.21 n.2, p.117-128, September-October 2004
Ingrid F. Russell, Neural Networks in the Undergraduate Curriculum, Journal of Computing Sciences in Colleges, v.6 n.5, p.92-97, May 1991
Gualtiero Piccinini, 2008 Special Issue: Some neural networks compute, others don't, Neural Networks, v.21 n.2-3, p.311-321, March, 2008
M. R. W. Dawson , D. A. Medler , D. B. Mccaughan , L. Willson , M. Carbonaro, Using Extra Output Learning to Insert a Symbolic Theory into a Connectionist Network, Minds and Machines, v.10 n.2, p.171-201, May 2000
Youngohc Yoon , Lynn Peterson, Artificial neural networks: an emerging new technique, ACM SIGMIS Database, v.23 n.1, p.55-57, Winter 1992
Jeffrey R. Carter , Bo I. Sanden, Ada design of a neural network, ACM SIGAda Ada Letters, v.XIV n.3, p.61-73, May/June 1994
Michael R. W. Dawson , Patricia M. Boechler , Monica Valsangkar-Smyth, Representing space in a PDP network: Coarse allocentric coding can mediate metric and nonmetric spatial judgements, Spatial Cognition and Computation, v.2 n.3, p.181-218, 2000
Sidney Fels , Ashley Gadd , Axel Mulder, Mapping transparency through metaphor: towards more expressive musical instruments, Organised Sound, v.7 n.2, p.109-126, August 2002
Victoria J. Hodge , John Eakins , James Austin, Inducing a perceptual relevance shape classifier, Proceedings of the 6th ACM international conference on Image and video retrieval, p.138-145, July 09-11, 2007, Amsterdam, The Netherlands
Ron Sun, The importance of cognitive architectures: an analysis based on CLARION, Journal of Experimental & Theoretical Artificial Intelligence, v.19 n.2, p.159-193, June 2007
Hamidrez Modares , Alirez Ahmadyfard , Mohammad Hadadzarif, A PSO approach for non-linear active noise cancellation, Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization, p.492-497, September 22-24, 2006, Lisbon, Portugal
Simon D. Levy , Ross Gayler, Vector Symbolic Architectures: A New Building Material for Artificial General Intelligence, Proceeding of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference, p.414-418, June 20, 2008
Richard Loosemore, Complex Systems, Artificial Intelligence and Theoretical Psychology, Proceeding of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006, p.159-173, June 07, 2007
Gadi Pinkas , Rina Dechter, Improving connectionist energy minimization, Journal of Artificial Intelligence Research, v.3 n.1, p.223-248, June 1995
Ujjwal Maulik, Medical image segmentation using genetic algorithms, IEEE Transactions on Information Technology in Biomedicine, v.13 n.2, p.166-173, March 2009

INDEX TERMS

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

Additional Classification:
  C. Computer Systems Organization
  C.1 PROCESSOR ARCHITECTURES
      C.1.2 Multiple Data Stream Architectures (Multiprocessors)
          Subjects: Parallel processors**
      C.1.3 Other Architecture Styles
          Subjects: Neural nets

  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human information processing

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


General Terms:
Design, Human Factors

Collaborative Colleagues:
J. L. McClelland: colleagues
D. E. Rumelhart: colleagues
G. E. Hinton: colleagues

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