Electronic Resource

Artificial Intelligence Systems Based on Hybrid Neural Networks

---

Penilaian

---

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.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000989	EB0001585	620.004 52 Zgu a	Central Library (OPAC)	Available

Detail Information

Series Title

Studies in Computational Intelligence

Call Number

620.004 52 Zgu a

Publisher

Switzerland : Springer Cham., 2020

Collation

XV, 512p.:Ill

Language

English

ISBN/ISSN

978-3-030-48453-8

Classification

620.004 52

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Computational Intelligence

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment