Brain and Nature-Inspired Learning, Computation and Recognition
Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and mai...
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| Auteurs principaux: | , , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
San Diego, CA :
Elsevier Science
2020.
Paris : Cyberlibris |
| Accès en ligne: | Accès Université d'Orléans et IFPM Accès INSA CVL |
| Note: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780128204047.jpg Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Brain and Nature-Inspired Learning, Computation and Recognition, Licheng Jiao, Ronghua Shang, Fang Liu, [et autre], San Diego, CA, Elsevier Science, 2020, 1 vol. (1097 p.), 978-01-2819-795-0 |