| 書目名稱 | Solitonic Neural Networks |
| 副標題 | An Innovative Photon |
| 編輯 | Alessandro Bile |
| 視頻video | http://file.papertrans.cn/872/871676/871676.mp4 |
| 概述 | Presents an updated overview of hardware neuromorphic intelligence.Highlights technologies relevant in various areas of optics and photonic materials.Covers advancements in AI that are relevant to bot |
| 叢書名稱 | Machine Intelligence for Materials Science |
| 圖書封面 |  |
| 描述 | .This book delves into optics and photonic materials, describing the development of an intelligent all-optical system capable of replicating the functional building blocks of the biological brain. Starting with an analysis of biological neuronal dynamics and traversing the state of the art of neuromorphic systems developed to date, the book arrives at a description of neural networks realized through spatial soliton technology..After a brief introduction to the biology of neural networks (Chapter 1), the book delves into the description of the neuromorphic?problem?emphasizing the peculiarities of optical hardware developed to date. (Chapter 2). Chapter 3 is dedicated to?the description of psychomemories , which represent the modeling of human learning according to the theories of modern neuro-psychology. This chapter provides the prerequisites for understanding how solitonic neural networks (SNNs) are able to learn and how they approach biological models.?Chapter 4 focuses on the experimentation of solitonic optic neurons in thin layers of lithium niobate.?Optical techniques for supervised and unsupervised learning are discussed. The entire chapter is accompanied by theoretical, si |
| 出版日期 | Book 2024 |
| 關鍵詞 | photorefractive soliton; optical pyscho-memory; optical neuromorphics; optical neural network; nonlinear |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-48655-5 |
| isbn_softcover | 978-3-031-48657-9 |
| isbn_ebook | 978-3-031-48655-5Series ISSN 2948-1813 Series E-ISSN 2948-1821 |
| issn_series | 2948-1813 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-6 16:35
發(fā)表于 2025-3-21 16:11:14
