Neo-Fuzzy Encoder and Its Adaptive Learning for Big Data Processing
In the paper a two-layer encoder is proposed. The nodes of encoder under consideration are neo-fuzzy neurons, which are characterised by high speed of learning process and effective approximation properties. The proposed architecture of neo-fuzzy encoder has a two-layer bottle neck” structure and it...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2017-12-01
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| Series: | Information Technology and Management Science |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/itms.2017.20.issue-1/itms-2017-0001/itms-2017-0001.xml?format=INT |