Power generation system largely depends on fossil fuels to generate electricity. Due to
various reasons, the reserves of fossil fuels are declining and will become too expensive in …

Quantum neural network is a useful tool which has seen more development over the years
mainly after twentieth century. Like artificial neural network (ANN), a novel, useful and …

Solving dynamic optimization problems (DOPs) induced by time-varying optimization
objective functions and constraints is challenging. Quantum computation has received …

In this paper, a quantum neural network (QNN) is used as controller in the adaptive control
structures to improve efficiency of the maximum power point tracking (MPPT) methods in the …

This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …

Neural networks have attracted much interest in the last two decades for their potential to
realistically describe brain functions, but so far they have failed to provide models that can …

The classical self-supervised neural network architectures suffer from slow convergence
problem and incorporation of quantum computing in classical self-supervised networks is a …

To obtain higher encryption efficiency and to realize the compression of quantum image, a
quantum gray image encryption-compression scheme is designed based on quantum …

摘要机器学习在过去十几年里不断发展, 并对其他领域产生了深远的影响. 近几年,
研究人员发现结合量子计算特性的新型机器学习算法可实现对传统算法的加速 …

In this work, an efficient robust control scheme is proposed for position control of induction
motors based on field-oriented control (FOC). The proposed control scheme consists of …