| 期刊全称 | Artificial Intelligence Systems Based on Hybrid Neural Networks | | 期刊简称 | Theory and Applicati | | 影响因子2023 | Michael Zgurovsky,Victor Sineglazov,Elena Chumache | | 视频video | | | 发行地址 | Presents a unified methodology for constructing hybrid neural networks.Provides original research findings on artificial intelligence systems based on hybrid neural networks.Includes theory and applic | | 学科分类 | Studies in Computational Intelligence | | 图书封面 |  | | 影响因子 | 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. . | | Pindex | Book 2021 |
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发表于 2025-3-21 17:41:53
