Volume 2 - Issue 1, January - February 2026

computing with the processing capabilities of neural models. SCCs, which rely on capacitors and switches instead of resistors and inductors, offer advantages such as reduced power consumption, smaller size, and lower manufacturing complexity. This paper aims to convert neural networks into two forms of electronic circuits: the first uses amplifiers and resistors, while the second employs the switched capacitor technique by replacing resistors with capacitors and switches. The SCC based design is derived from the first type, maintaining equivalent functionality with improved efficiency and simplified construction. A practical implementation of this approach is demonstrated through designing an electronic circuit that performs the Hamming algorithm for classification purposes. The proposed circuit is simulated using Multisim, and the results confirm its validity and agreement with theoretical expectations. This work highlights the potential of SCCs in developing energy efficient and scalable hardware implementations for neural networks, making them suitable for a wide range of applications where compactness and low power are critical

Hanan A. R. Akkar,"Design Switched-Capacitor Circuits for Artificial Neural Networks" International Journal of Scientific Research and Engineering Development, V2(1): Page(386-398) Jan-Feb 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.