logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Decision Support For Product Development Using Computational Intelligence For Information Acquisition In Enterprise Databases 1st Ed Marcin Relich

  • SKU: BELL-22425758
Decision Support For Product Development Using Computational Intelligence For Information Acquisition In Enterprise Databases 1st Ed Marcin Relich
$ 31.00 $ 45.00 (-31%)

5.0

90 reviews

Decision Support For Product Development Using Computational Intelligence For Information Acquisition In Enterprise Databases 1st Ed Marcin Relich instant download after payment.

Publisher: Springer International Publishing;Springer
File Extension: PDF
File size: 5.05 MB
Author: Marcin Relich
ISBN: 9783030438968, 9783030438975, 3030438961, 303043897X
Language: English
Year: 2021
Edition: 1st ed.

Product desciption

Decision Support For Product Development Using Computational Intelligence For Information Acquisition In Enterprise Databases 1st Ed Marcin Relich by Marcin Relich 9783030438968, 9783030438975, 3030438961, 303043897X instant download after payment.

This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling.

The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.

Related Products