Complex, Hypercomplex and Fuzzy-Valued Neural Networks : New Perspectives and Applications
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...
| Main Authors: | , , , |
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| Format: | Book |
| Published: |
Routledge
2025
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| Online Access: | View this record in EBSCOhost |