Brain and nature-inspired learning computation and recognition

by Jiao, Li-cheng

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Title Statements

Full title :Brain and nature-inspired learning computation and recognition / Licheng Jiao, [and 3 others].

Edition Statements

Publication Date:2020

Publication Statements

Publisher(s):Elsevier
Place of Publication:Amsterdam, Netherlands
Language:eng
Publication Date:2020

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:9780128204047, 0128204044
oclc:on1144513033
LC Classification:QA76.87
Dewey Decimal:006.3/2

1. Introduction; 2. The models and structure of neural network; 3. Theoretical Basis of Natural Computation; 4. Theoretical basis of machine learning; 5. Theoretical basis of compressive sensing; 6. SAR image; 7. POLSAR Image Classification; 8. Hyperspectral Image; 9. Multiobjective Evolutionary Algorithm (MOEA) based Sparse Clustering; 10. MOEA Based Community Detection; 11. Evolutionary Computation Based Multiobjective Capacitated Arc Routing Optimizations; 12. Multiobjective Optimization Algorithm Based Image Segmentation; 13. Graph regularized Feature Selection based on spectral learning and subspace learning; 14. Semi-supervised learning based on mixed knowledge information and nuclear norm regularization; 15. Fast clustering methods based on learning spectral embedding; 16. Fast clustering methods based on affinity propagation and density-weighted; 17. SAR image processing based on similarity measure and discriminant feature learning; 18. Hyperspectral image processing based on sparse learning and sparse graph; 19. Non-convex compressed sensing framework based on block strategy and overcomplete dictionary; 20. The sparse representation combined with FCM in compressed sensing…

Subjects

Apprentissage automatique Calcul naturel Electronic books Machine learning Natural computation Neural networks (Computer science) Neural Networks, Computer Réseaux neuronaux (Informatique)