Estep, 2003 - Google Patents
Can Neural Networks Simulate Boundary Set S?Estep, 2003
- Document ID
- 17814534713945883669
- Author
- Estep M
- Publication year
- Publication venue
- A Theory of Immediate Awareness: Self-Organization and Adaptation in Natural Intelligence
External Links
Snippet
In this chapter, I will evaluate the extent to which neural network models can characterize the kinds of complex self-organizing dynamics found in Boundary Set S. In the last chapter, we saw that it is the attractors that become the sources of the order we observe exhibited by one …
- 230000001537 neural 0 title abstract description 67
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- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
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- 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
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
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- G06N3/004—Artificial life, i.e. computers simulating life
- G06N3/008—Artificial life, i.e. computers simulating life based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. robots replicating pets or humans in their appearance or behavior
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6251—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on a criterion of topology preservation, e.g. multidimensional scaling, self-organising maps
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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