A high-level network of neural classifiers
The high-level Neural Network model described in this paper is a multi-layered feedforward network where each hidden and output unit is also a Neural Network. Each of the units which compose the Neural Network, termed classifier unit, is an incremental network that adjusts its architecture depending...
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2001
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oai:animorepository.dlsu.edu.ph:faculty_research-141092024-03-23T00:10:51Z A high-level network of neural classifiers Azcarraga, Arnulfo P. The high-level Neural Network model described in this paper is a multi-layered feedforward network where each hidden and output unit is also a Neural Network. Each of the units which compose the Neural Network, termed classifier unit, is an incremental network that adjusts its architecture depending on the complexity of the input-output association task that is assigned to it. The various ways by which such a high-level Neural Network can learn are presented. These are discussed in the context of hybrid systems which incorporate the advantages of Expert Systems and Neural Networks. 2001-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/11962 Faculty Research Work Animo Repository Neural networks (Computer science) Hybrid systems Computer Sciences |
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De La Salle University |
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Asia |
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Philippines Philippines |
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Neural networks (Computer science) Hybrid systems Computer Sciences |
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Neural networks (Computer science) Hybrid systems Computer Sciences Azcarraga, Arnulfo P. A high-level network of neural classifiers |
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The high-level Neural Network model described in this paper is a multi-layered feedforward network where each hidden and output unit is also a Neural Network. Each of the units which compose the Neural Network, termed classifier unit, is an incremental network that adjusts its architecture depending on the complexity of the input-output association task that is assigned to it. The various ways by which such a high-level Neural Network can learn are presented. These are discussed in the context of hybrid systems which incorporate the advantages of Expert Systems and Neural Networks. |
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text |
| author |
Azcarraga, Arnulfo P. |
| author_facet |
Azcarraga, Arnulfo P. |
| author_sort |
Azcarraga, Arnulfo P. |
| title |
A high-level network of neural classifiers |
| title_short |
A high-level network of neural classifiers |
| title_full |
A high-level network of neural classifiers |
| title_fullStr |
A high-level network of neural classifiers |
| title_full_unstemmed |
A high-level network of neural classifiers |
| title_sort |
high-level network of neural classifiers |
| publisher |
Animo Repository |
| publishDate |
2001 |
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https://animorepository.dlsu.edu.ph/faculty_research/11962 |
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1800918896664903680 |