Articles liés à Hybrid Soft Computing Techniques for Machine Learning...
- ÉditeurIGI Global
- Date d'édition2025
- ISBN 13 9798369368640
- ReliureRelié
- Langueanglais
- Nombre de pages300
- ÉditeurMarriwala Nikhil Kumar, Jain Shruti, Shukla Vinod Kumar, Kumar Dinesh
Acheter neuf
Afficher cet article
EUR 238,85
Gratuit expédition vers Etats-Unis
Destinations, frais et délaisRésultats de recherche pour Hybrid Soft Computing Techniques for Machine Learning...
Image d'archives
Hybrid Soft Computing Techniques for Machine Learning and Optimization
impression à la demandeVendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9798369368640
Quantité disponible : Plus de 20 disponibles
Image d'archives
Hybrid Soft Computing Techniques for Machine Learning and Optimization
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9798369368640
Quantité disponible : Plus de 20 disponibles
Image d'archives
Hybrid Soft Computing Techniques for Machine Learning and Optimization
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9798369368640_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Hybrid Soft Computing Techniques for Machine Learning and Optimization (Hardcover)
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. Soft computing approaches, such as fuzzy logic, neural networks, and genetic algorithms, can be integrated into the realms of data analysis and decision making. They can be applied to tackle complex data analysis tasks and support decision-making processes in various domains, including healthcare, finance, manufacturing, and transportation. By extracting meaningful patterns, soft computing techniques may increase the effectiveness and efficiency in handling large datasets. In this way, they may be useful for facilitating decision making in uncertain and dynamic environments. Hybrid Soft Computing Techniques for Machine Learning and Optimization bridges the gap between theoretical knowledge and practical applications in soft computing and data analysis. It explores advancements and innovations in industries where data-driven decision making is crucial. Covering topics such as learning, biomedical signal processing, and entity behaviors, this book is an excellent resource for computer scientists, engineers, practitioners, healthcare professionals, finance professionals, manufacturers, transportation specialists, professionals, researchers scholars, academicians, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798369368640
Quantité disponible : 1 disponible(s)
Image d'archives
Hybrid Soft Computing Techniques for Machine Learning and Optimization (Hardcover)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798369368640
Quantité disponible : 1 disponible(s)
Image d'archives
Hybrid Soft Computing Techniques for Machine Learning and Optimization (Hardcover)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 3 sur 5 étoiles
Hardcover. Etat : new. Hardcover. Soft computing approaches, such as fuzzy logic, neural networks, and genetic algorithms, can be integrated into the realms of data analysis and decision making. They can be applied to tackle complex data analysis tasks and support decision-making processes in various domains, including healthcare, finance, manufacturing, and transportation. By extracting meaningful patterns, soft computing techniques may increase the effectiveness and efficiency in handling large datasets. In this way, they may be useful for facilitating decision making in uncertain and dynamic environments. Hybrid Soft Computing Techniques for Machine Learning and Optimization bridges the gap between theoretical knowledge and practical applications in soft computing and data analysis. It explores advancements and innovations in industries where data-driven decision making is crucial. Covering topics such as learning, biomedical signal processing, and entity behaviors, this book is an excellent resource for computer scientists, engineers, practitioners, healthcare professionals, finance professionals, manufacturers, transportation specialists, professionals, researchers scholars, academicians, and more. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798369368640
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Hybrid Soft Computing Techniques for Machine Learning and Optimization
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware. N° de réf. du vendeur 9798369368640
Quantité disponible : 2 disponible(s)