Complex, Hypercomplex and Fuzzy-Valued Neural Networks
Complex, Hypercomplex, and Fuzzy-Valued Neural Networks are extensions of classical neural networks to higher dimensions. In recent decades, this theory has emerged as a forefront in neural networks theory. There are several approaches to extend classical neural network models: quaternionic analysis...
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| Hauptverfasser: | , , , |
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| Format: | Online |
| Sprache: | Englisch |
| Veröffentlicht: |
Taylor & Francis
2025
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| Schlagworte: | |
| Online-Zugang: | ONIX_20251201T114739_9781040523803_3 |
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