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Liang, 1990 - Google Patents

Problem decomposition and subgoaling in artificial neural networks

Liang, 1990

Document ID
14876686847131196366
Author
Liang P
Publication year
Publication venue
1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings

External Links

Snippet

A general principle of problem decomposition and subgoaling is proposed for designing an artificial neural network (ANN) and its learning algorithms. The basic idea is divide-and- conquer. The principle is explored systematically, and it is shown through several examples …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
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    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
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