Items related to Hybrid Soft Computing Techniques for Machine Learning...
- PublisherIGI Global
- Publication date2025
- ISBN 13 9798369368640
- BindingHardcover
- LanguageEnglish
- Number of pages300
- EditorMarriwala Nikhil Kumar, Jain Shruti, Shukla Vinod Kumar
Search results for Hybrid Soft Computing Techniques for Machine Learning...
Stock Image
Hybrid Soft Computing Techniques for Machine Learning and Optimization
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9798369368640
Quantity: Over 20 available
Stock Image
Hybrid Soft Computing Techniques for Machine Learning and Optimization
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9798369368640
Quantity: Over 20 available
Stock Image
Hybrid Soft Computing Techniques for Machine Learning and Optimization
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9798369368640_new
Quantity: Over 20 available
Stock Image
Hybrid Soft Computing Techniques for Machine Learning and Optimization (Hardcover)
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: 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. Seller Inventory # 9798369368640
Quantity: 1 available
Stock Image
Hybrid Soft Computing Techniques for Machine Learning and Optimization (Hardcover)
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798369368640
Quantity: 1 available
Stock Image
Hybrid Soft Computing Techniques for Machine Learning and Optimization (Hardcover)
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 3 out of 5 stars
Hardcover. Condition: 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. Seller Inventory # 9798369368640
Quantity: 1 available
Seller Image
Hybrid Soft Computing Techniques for Machine Learning and Optimization
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware. Seller Inventory # 9798369368640
Quantity: 2 available