Application of Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for the Modelling and Simulation of QCA Circuits

ABSTRACT

In this paper, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are used for the modelling and simulation of quantum-dot cellular automata (QCA) circuits. For this purpose, all QCA basis components and gates are modelled using ANN and ANFIS. The accuracy and performance of the proposed methods are analysed through a few circuits. Finally, we compared the simulation speed of the proposed methods with QCADesigner software. The results show that the proposed ANN and ANFIS models are much faster than QCADesigner. Also, these models are imported into HSPICE software to design and simulate complex QCA logic circuits.

KEYWORDS:

• Adaptive neuro-fuzzy inference system
• Artificial neural network
• HSPICE
• Modelling
• QCADesigner
• Quantum-dot cellular automata

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

M. Hayati

Mohsen Hayati received the BE degree in electronics and communication engineering from Nagarjuna University, Andhra Pradesh, India, in 1985, and the ME and PhD degrees in electronics engineering from Delhi University, Delhi, India, in 1987 and 1992, respectively. He joined the Electrical Engineering Department, Razi University, Kermanshah, Iran, as an assistant professor in 1993. Currently, he is a professor with the Electrical Engineering Department, Kermanshah branch, Islamic Azad University and Electrical Engineering Department of Razi University. He has published more than 195 papers in international, domestic journals, and conferences. His current research interests include microwave and millimetre wave devices and circuits, application of computational intelligence, artificial neural networks, fuzzy systems, neuro-fuzzy systems, electronic circuit synthesis, modelling and simulations.

E-mail: [email protected]

A. Rezaei

Abbas Rezaei is an assistant professor in Electrical Engineering Department in Kermanshah University of Technology. Abbas Rezaei received the BSc, MSc and PhD degrees in electronics engineering from Razi University, Kermanshah, Iran, in 2005, 2009, and 2013, respectively. His current research interests include computational intelligence, Microstrip devices, and nanotechnology.

E-mail: [email protected], [email protected]

S. Zarghami

Sepehr Zarghami received the BE in electronics engineering from the Electrical Engineering Department, Kermanshah Branch, Islamic Azad University, Iran, in 2013 and ME from the Electrical Engineering Department, Razi University, Kermanshah, Iran, in 2016. His research interests include microwave engineering, power amplifiers design, low noise amplifier design, and analogue passive circuits design.

E-mail: [email protected]

L. Noori

Leila Noori received her BEng and MS in electronics engineering from Razi University, Kermanshah, Iran, in 2007 and 2011, respectively. She received her PhD degree in electronics engineering from the Shiraz University of Technology, Shiraz, Iran, in 2015. Her main research interests are designing of microstrip filters, microstrip couplers, low noise amplifiers, and diplexers and multiplexers.

E-mail: [email protected]