IEEE Transactions on Systems Man and Cybernetics Template
Write in a clean editor, then format for IEEE Transactions on Systems Man and Cybernetics in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the IEEE Transactions on Systems Man and Cybernetics format
IEEE Transactions on Systems Man and Cybernetics is a peer-reviewed journal published by IEEE, covering Neural Networks and Applications, Systems Engineering Methodologies and Applications, Computability, Logic, AI Algorithms.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Systems Man and Cybernetics, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Systems Man and Cybernetics style. No sign-up. |
| Publishes research in | Neural Networks and Applications Systems Engineering Methodologies and Applications Computability, Logic, AI Algorithms AI-based Problem Solving and Planning Cognitive Computing and Networks |
| ISSN | 0018-9472 |
| h-index | 225 |
| i10-index | 2,073 |
| Total citations | 370,003 |
| Top institutions publishing here | Purdue University West Lafayette |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IEEE Transactions on Systems Man and Cybernetics per year
Citation impact of IEEE Transactions on Systems Man and Cybernetics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in IEEE Transactions on Systems Man and Cybernetics
Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image be a photomicrograph, an aerial photograph, or a satellite image. This paper describes some easily computable textural features based on gray-tone spatial dependancies, and illustrates their application in category-identification tasks of three different kinds…
A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented in this paper. The premise of an implication is the description of fuzzy subspace of inputs and its consequence is a linear input-output relation. The method of identification of a system using its input-output data…
The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference system implemented in the framework of adaptive networks. By using a hybrid learning procedure, the proposed ANFIS can construct an input-output mapping based on both human knowledge (in the form of fuzzy if-then rules) and stipulated input-output…
The approach described in this paper represents a substantive departure from the conventional quantitative techniques of system analysis. It has three main distinguishing features: 1) use of so-called ``linguistic'' variables in place of or in addition to numerical variables; 2) characterization of simple relations between variables by fuzzy conditional statements; and 3) characterization of complex…