Software reliability prediction: A survey

S Oveisi, A Moeini, S Mirzaei… - Quality and Reliability …, 2023 - Wiley Online Library
Softwares play an important role in controlling complex systems. Monitoring the proper
functioning of the components of such systems is the principal role of softwares. Often, a …

Lyapunov-based neural network model predictive control using metaheuristic optimization approach

C Stiti, M Benrabah, A Aouaichia, A Oubelaid… - Scientific Reports, 2024 - nature.com
This research introduces a new technique to control constrained nonlinear systems, named
Lyapunov-based neural network model predictive control using a metaheuristic optimization …

A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios

X Zhang, X Ming, Z Liu, D Yin, Z Chen… - The International Journal …, 2019 - Springer
With the breakthroughs in artificial intelligence technology and the rapid development of
intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply …

Study on the mode of intelligent chemical industry based on cyber-physical system and its implementation

X Ji, G He, J Xu, Y Guo - Advances in Engineering software, 2016 - Elsevier
Responding to the technological progresses and the emerging trends of chemical industry,
the mode of intelligent chemical industry based on cyber-physical system (CPS) was …

Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control

JL Salmeron, EI Papageorgiou - Applied intelligence, 2014 - Springer
Abstract Fuzzy Grey Cognitive Maps (FGCM) is an innovative Grey System theory-based
FCM extension. Grey systems have become a very effective theory for solving problems …

A bayesian belief network based model for predicting software faults in early phase of software development process

S Chatterjee, B Maji - Applied Intelligence, 2018 - Springer
It is always better to have an idea about the future situation of a present work. Prediction of
software faults in the early phase of software development life cycle can facilitate to the …

Software fault prediction using Nonlinear Autoregressive with eXogenous Inputs (NARX) network

S Chatterjee, S Nigam, JB Singh, LN Upadhyaya - Applied Intelligence, 2012 - Springer
This paper explores a new approach for predicting software faults by means of NARX neural
network. Also, a careful analysis has been carried out to determine the applicability of NARX …

High efficiency fault-detection and fault-tolerant control approach in Tennessee Eastman process via fuzzy-based neural network representation

M Adeli, AH Mazinan - Complex & Intelligent Systems, 2020 - Springer
We looked at the background of fault-detection and fault-tolerant control algorithms to
propose a new high efficiency one with a focus on Tennessee Eastman process through …

A novel IMC controller based on bacterial foraging optimization algorithm applied to a high speed range PMSM drive

A Flah, L Sbita - Applied Intelligence, 2013 - Springer
This paper is a proposal of a modified internal model control based on an intelligent
technique. The indirect field oriented control strategy (IFOC) is used as a permanent magnet …

An efficient robust adaptive sliding mode control approach with its application to secure communications in the presence of uncertainties, external disturbance and …

AH Mazinan, MF Kazemi… - Transactions of the …, 2014 - journals.sagepub.com
The present research attempts to extend the available literature in the area of secure
communications to provide an efficient robust adaptive sliding mode control approach in the …