Feature ranking through weights manipulations for artificial neural networks-based classifiers
Artificial Neural Networks (ANNs) are often viewed as black box. This limits the comprehensive understanding on how it deals with input neuron/data, as well as how it reached a particular decision. Input significance analysis (ISA) refers to the process of understanding these input neurons/data. An...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
The Institute of Electrical and Electronics Engineers
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/37854/1/Feature_Ranking_Through_Weights_Manipulations_for_Artificial_Neural_Networks-.pdf http://irep.iium.edu.my/37854/4/37854.pdf http://irep.iium.edu.my/37854/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7280896 |
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