Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective
Artificial intelligence (AI) can bring both opportunities and challenges to human resource
management (HRM). While scholars have been examining the impact of AI on workplace …
management (HRM). While scholars have been examining the impact of AI on workplace …
Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
A review of deep learning with special emphasis on architectures, applications and recent trends
Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
A comprehensive survey on particle swarm optimization algorithm and its applications
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Particle swarm optimization (PSO) has shown its advantages in various optimization
problems. Topology and updating strategies are among its key concepts and have …
problems. Topology and updating strategies are among its key concepts and have …
Application of optimized machine learning techniques for prediction of occupational accidents
Although, the usefulness of the machine learning (ML) technique in predicting future
outcomes has been established in different domains of applications (eg, heath care), its …
outcomes has been established in different domains of applications (eg, heath care), its …
Hybrid artificial intelligence and robust optimization for a multi-objective product portfolio problem Case study: The dairy products industry
The optimization of the product portfolio problem under return uncertainty is addressed here.
The contribution of this study is based on the application of a hybrid improved artificial …
The contribution of this study is based on the application of a hybrid improved artificial …
Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis
The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …
(ML) approaches in occupational accident analysis. The review process includes four …
Intelligent computing for numerical treatment of nonlinear prey–predator models
In this study, a new computing paradigm is presented for evaluation of dynamics of
nonlinear prey–predator mathematical model by exploiting the strengths of integrated …
nonlinear prey–predator mathematical model by exploiting the strengths of integrated …