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Rumelhart and James L. Rumelhart , James L.
McClelland Published The fundamental principles, basic mechanisms, and formal analyses involved in the development of parallel distributed processing PDP systems are presented in individual chapters contributed by leading experts. View PDF.
Save to Library. As such, different types of mental processing are considered to be distributed throughout a highly complex neuronetwork. Parallel Distributed Processing.
The PDP model has 3 basic principles: the representation of information is distributed not local memory and knowledge for specific things are not stored explicitly, but stored in the connections between units. These models assume that information processing takes place through interactions of large numbers of simple processing elementscalled units, each sending excitatory and inhibitory signals to other units.
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The fundamental principles, basic mechanisms, and formal analyses involved in the development of parallel distributed processing PDP systems are presented in individual chapters contributed by leading experts. Topics examined include distributed representations, PDP models and general issues in cognitive science, feature discovery by competitive learning, the foundations of harmony theory, learning and relearning in Boltzmann machines, and learning internal representations by error propagation.
Consideration is given to linear algebra in PDP, the logic of additive functions, resource requirements of standard and programmable nets, and the P3 parallel-network simulating system. Similar records in OSTI.
Remembering David E. Rumelhart (1942-2011)
GOV collections:. GOV Book: Parallel distributed processing: explorations in the microstructure of cognition. Volume 1.
Related Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
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