Complex, Hypercomplex and Fuzzy-Valued Neural Networks: New Perspectives and Applications
Overview & Synopsis
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.
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Document Information
| Document Title | Complex, Hypercomplex and Fuzzy-Valued Neural Networks: New Perspectives and Applications |
|---|---|
| Author / Organization | Agnieszka Niemczynowicz, Irina Perfilieva, Lluís M. García-Raffi, Radosław Kycia |
| Subject & Discipline | Neural Networks, Fuzzy Logic, Fuzzy Sets, Fuzzy Mathematics, etc., Applied Mathematics, Control Theory and Systems |
| Categories | Neural Networks |
| Publication Year | 2025 |
| ISBN | 103284714X |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Access Restricted / Protected Host |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-108452 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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