| Autors: Popov, S. A., Hinov, N. L. Title: Comparative Analysis of Software Environments for Computer Modeling in Electrical and Electronic Engineering Keywords: Computer modeling; electric circuits; electronic circuits Abstract: The manuscript presents a comparative analysis of the most popular software environments for computer modeling and simulation of electrical and electronic circuits. The software products LTspice, PySpice and Matlab/Simulink are reviewed. The strengths and weaknesses of each of these products are indicated, as well as the main libraries, the types of analysis, the mathematical numerical methods used to solve the models, and also the visualization tools. In this sense, the systematization and summary made are useful with a view to choosing suitable software tools both for research in the field of electronics and electrical engineering, and for conducting training in these fields of technology. References Issue
Copyright IEEE |
Цитирания (Citation/s):
1. Jurj, S.L. PySpice-Simulated In Situ Learning with Memristor Emulation for Single-Layer Spiking Neural Networks. Electronics 2024, 13, 4665. https://doi.org/10.3390/electronics13234665 - 2024 - в издания, индексирани в Scopus и Web of Science
2. Macías, J., Herrero, R., San José, L. J., Núñez, R., & Antón, I. (2024). On the optimization of the interconnection of photovoltaic modules integrated in vehicles. Iscience, 27(6). DOI: 10.1016/j.isci.2024.110089 - 2024 - в издания, индексирани в Scopus и Web of Science
3. R. Feng, Z. Wang, Y. Hu, Y. Xu and H. Wang, "The Investigation of AutoEncoder-Based Neural Network for NMOS Circuit Anomaly Detection," 2024 9th International Conference on Electronic Technology and Information Science (ICETIS), Hangzhou, China, 2024, pp. 216-220, doi: 10.1109/ICETIS61828.2024.10593795. - 2024 - в издания, индексирани в Scopus и Web of Science
Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus
