A complex-valued neuro-fuzzy inference system and its learning mechanism
In this paper, we present a Complex-valued Neuro-Fuzzy Inference System (CNFIS) and develop its meta-cognitive learning algorithm. CNFIS has four layers-an input layer with m rules, a Gaussian layer with K rules, a normalization layer with K rules and an output layer with n rules. The rules in the G...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/102605 http://hdl.handle.net/10220/18958 |
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| Institution: | Nanyang Technological University |
| Language: | English |