Intelligent Information Processing with Matlab

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Springer


Paru le : 2023-10-15

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Description

This book is a comprehensive collection of technologies and methods on intelligent information processing, which includes artificial neural network, fuzzy logic, and evolutionary computing. It also introduces the latest research directions and progress in intelligent information processing, such as transfer learning through convolutional neural network, time series prediction, clustering based on fuzzy neural network, test and evaluation of the traveling salesman problem, test and evaluation of continuous optimization problem, and more.
This book promotes the development and application of intelligent information processing technology in the field of computational intelligence, effectively improving the intersection and integration of intelligent information processing methods. Researchers in computational intelligence and artificial intelligence technology, as well as teachers, students, and others interested in the subject, will benefit from this book.
Pages
253 pages
Collection
n.c
Parution
2023-10-15
Marque
Springer
EAN papier
9789819964482
EAN PDF
9789819964499

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
7066 Ko
Prix
147,69 €
EAN EPUB
9789819964499

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
25190 Ko
Prix
147,69 €

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