A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation

George Rudolph; Tony Martinez

doi:10.1016/s0167-739x(96)00018-0

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A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation

George Rudolph Tony Martinez

Year: 1997 Journal: Future Generation Computer Systems Vol: 12 (6)Pages: 547-564 Publisher: Elsevier BV

DOI: 10.1016/s0167-739x(96)00018-0

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Keywords:

Computer science Backpropagation Network topology Artificial neural network Node (physics) Feedforward neural network Transformation (genetics) Feed forward Set (abstract data type) Distributed computing Topology (electrical circuits) Algorithm Computer network Artificial intelligence Mathematics

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation

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