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Proceedings of the IEEE is a peer-reviewed journal published by IEEE, covering Semiconductor Lasers and Optical Devices, Photonic and Optical Devices, Advancements in Semiconductor Devices and Circuit Design. Over its lifetime it has published 20,145 papers, which have received 1,271,829 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," Proceedings of the IEEE, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in Proceedings of the IEEE style. No sign-up. |
| Abbreviation (ISO-4) | PROC |
| Publishes research in | Semiconductor Lasers and Optical Devices Photonic and Optical Devices Advancements in Semiconductor Devices and Circuit Design Diverse Scientific and Economic Studies Semiconductor Quantum Structures and Devices |
| ISSN | 0018-9219 |
| Citation impact (2-yr) | 8.63 |
| h-index | 469 |
| i10-index | 7,781 |
| Top institutions publishing here | Massachusetts Institute of Technology |
| Journal website | proceedingsoftheieee.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters, with minimal preprocessing. This paper reviews various methods applied to…
This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and gives practical details on methods of implementation of the theory along with a description of selected applications of the theory to distinct problems in speech recognition. Results from a number of…
Starts with a brief review of the history and the application areas considered in the literature. The author then proceeds with introductory modeling examples, behavioral and structural properties, three methods of analysis, subclasses of Petri nets and their analysis. In particular, one section is devoted to marked graphs, the concurrent system model most amenable to…
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper provides a theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due to link/node failures, time-delays, and performance guarantees. An overview of basic concepts of information consensus in networks and methods of…
The self-organized map, an architecture suggested for artificial neural networks, is explained by presenting simulation experiments and practical applications. The self-organizing map has the property of effectively creating spatially organized internal representations of various features of input signals and their abstractions. One result of this is that the self-organization process can discover semantic relationships in…
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