| DOI | Resolve DOI: https://doi.org/10.1109/IJCNN.2009.5178731 |
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| Author | Search for: Barton, Alan J.1; Search for: Valdes, Julio J.1; Search for: Orchard, Robert1 |
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| Affiliation | - National Research Council Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Conference | 2009 International Joint Conference on Neural Networks, IJCNN 2009, June 14-19, 2009, Atlanta, GA USA |
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| Abstract | A neural network classifier is sought. Classical neural network neurons are aggregations of a weight multiplied by an input value and then controlled via an activation function. This paper learns everything within the neuron using a variant of genetic programming called gene expression programming. That is, this paper does not explicitly use weights or activation functions within a neuron, nor bias nodes within a layer. Promising preliminary results are reported for a study of the detection of underground caves (a 1 class problem) and for a study of the interaction of water and minerals near a glacier in the Arctic (a 5 class problem). |
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| Publication date | 2009-07-31 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23005057 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | be2de4a7-2607-4098-ac65-58bda4081cdd |
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| Record created | 2019-02-20 |
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| Record modified | 2020-04-16 |
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