Advances in Fuzzy Logic and Artificial Neural Networks
In a world where uncertainty and complexity dominate decision-making processes, Advances in Neural Networks and Fuzzy Logic presents groundbreaking studies exploring the potential of these Artificial Intelligence approaches to solve real-world problems. The chapters cover applications across various...
I tiakina i:
| Hōputu: | Online |
|---|---|
| Reo: | Ingarihi |
| I whakaputaina: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20250220_9783725829415_500 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869527302372589568 |
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| collection | Directory of Open Access Books |
| description | In a world where uncertainty and complexity dominate decision-making processes, Advances in Neural Networks and Fuzzy Logic presents groundbreaking studies exploring the potential of these Artificial Intelligence approaches to solve real-world problems. The chapters cover applications across various fields, such as robust galaxy classification, simulations in weighted finite automata, stock price prediction, large-scale water purification selection, speech deficiency detection in children, and supply chain management. Advanced techniques such as deep neural networks, fuzzy clustering, SHAP, LIME, and Hesitant Fuzzy Linguistic Term Sets are explored. This reprint is helpful for researchers, engineers, and students who wish to understand the latest advancements in and practical applications of neural networks and fuzzy logic. Within these pages, you will discover how these technologies solve complex problems and foster more transparent and reliable decision-support systems, as well as the state of the art in Artificial Intelligence, where neural networks and fuzzy logic converge to tackle modern challenges with innovation and precision. |
| format | Online |
| id | doab-20.500.12854ir-153136 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1531362025-02-20T13:36:45Z Advances in Fuzzy Logic and Artificial Neural Networks Lima-Junior, Francisco Rodrigues fuzzy set theory and extensions neural networks and extensions neuro-fuzzy systems deep neural networks learning algorithms comparative studies theoretical reviews engineering and scientific applications operations research thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science In a world where uncertainty and complexity dominate decision-making processes, Advances in Neural Networks and Fuzzy Logic presents groundbreaking studies exploring the potential of these Artificial Intelligence approaches to solve real-world problems. The chapters cover applications across various fields, such as robust galaxy classification, simulations in weighted finite automata, stock price prediction, large-scale water purification selection, speech deficiency detection in children, and supply chain management. Advanced techniques such as deep neural networks, fuzzy clustering, SHAP, LIME, and Hesitant Fuzzy Linguistic Term Sets are explored. This reprint is helpful for researchers, engineers, and students who wish to understand the latest advancements in and practical applications of neural networks and fuzzy logic. Within these pages, you will discover how these technologies solve complex problems and foster more transparent and reliable decision-support systems, as well as the state of the art in Artificial Intelligence, where neural networks and fuzzy logic converge to tackle modern challenges with innovation and precision. 2025-02-20T13:36:43Z 2025-02-20T13:36:43Z 2024 book ONIX_20250220_9783725829415_500 9783725829415 9783725829422 https://directory.doabooks.org/handle/20.500.12854/153136 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10307 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2942-2 10.3390/books978-3-7258-2942-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725829415 9783725829422 232 Basel open access |
| spellingShingle | fuzzy set theory and extensions neural networks and extensions neuro-fuzzy systems deep neural networks learning algorithms comparative studies theoretical reviews engineering and scientific applications operations research thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Advances in Fuzzy Logic and Artificial Neural Networks |
| title | Advances in Fuzzy Logic and Artificial Neural Networks |
| title_full | Advances in Fuzzy Logic and Artificial Neural Networks |
| title_fullStr | Advances in Fuzzy Logic and Artificial Neural Networks |
| title_full_unstemmed | Advances in Fuzzy Logic and Artificial Neural Networks |
| title_short | Advances in Fuzzy Logic and Artificial Neural Networks |
| title_sort | advances in fuzzy logic and artificial neural networks |
| topic | fuzzy set theory and extensions neural networks and extensions neuro-fuzzy systems deep neural networks learning algorithms comparative studies theoretical reviews engineering and scientific applications operations research thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | fuzzy set theory and extensions neural networks and extensions neuro-fuzzy systems deep neural networks learning algorithms comparative studies theoretical reviews engineering and scientific applications operations research thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20250220_9783725829415_500 |