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سیستم های هوش مصنوعی مبتنی بر شبکه های عصبی ترکیبی - تئوری و کاربرد ها
سیستم های هوش مصنوعی مبتنی بر شبکه های عصبی ترکیبی - تئوری و کاربرد ها

Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications
نویسنده:
سال انتشار: 2021
تعداد صفحات: 527
زبان فایل: انگلیسی
فرمت فایل: pdf
حجم فایل: 23MB
رمز فایل: www.ketabdownload.com
قیمت: 300,000ريال

افزودن به سبد دانلود

Publisher: Springer

ISBN-10: 3030484521

ISBN-13: 978-3030484521

ASIN: B08HGPLBJN

(Studies in Computational Intelligence (904)) 1st ed. 2021 Edition

by Michael Zgurovsky (Author), Victor Sineglazov (Author), Elena Chumachenko (Author)

This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems.

One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning.

The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.