Computational intelligence techniques are computational methodologies and approaches for
solving complex real-world problems. It is also considered a sub-branch of AI, which has the
operation is inspired by natural computational methods. The recent advancement of
computational intelligence has been extensively applied in various fields such as industry,
agriculture, business, sciences, and social media. Computational intelligence paradigms have
numerous branches, including neural networks, fuzzy systems, swarm intelligence, neuro-fuzzy,
and evolutionary computation. Recently, many studies have shown that the computational
intelligence method is more effective than traditional methods, especially in the case of complex
systems with existent uncertainties and disturbances.
The primary purpose of this research topic is to provide cutting-edge research in computational
intelligence techniques. This special issue invites original research and review articles that
cover novel theories, innovative methods, and meaningful applications of computational
intelligence.
The scope of the research will include, but is not limited to:
- Computational Intelligence
- Applied Soft Computing
- Intelligent control system
- Neural networks
- Fuzzy systems, Type-2 Fuzzy system
- Fuzzy neural networks, Hybrid fuzzy model
- Swarm intelligence and Evolutionary computation
Computational intelligence techniques are computational methodologies and approaches for
solving complex real-world problems. It is also considered a sub-branch of AI, which has the
operation is inspired by natural computational methods. The recent advancement of
computational intelligence has been extensively applied in various fields such as industry,
agriculture, business, sciences, and social media. Computational intelligence paradigms have
numerous branches, including neural networks, fuzzy systems, swarm intelligence, neuro-fuzzy,
and evolutionary computation. Recently, many studies have shown that the computational
intelligence method is more effective than traditional methods, especially in the case of complex
systems with existent uncertainties and disturbances.
The primary purpose of this research topic is to provide cutting-edge research in computational
intelligence techniques. This special issue invites original research and review articles that
cover novel theories, innovative methods, and meaningful applications of computational
intelligence.
The scope of the research will include, but is not limited to:
- Computational Intelligence
- Applied Soft Computing
- Intelligent control system
- Neural networks
- Fuzzy systems, Type-2 Fuzzy system
- Fuzzy neural networks, Hybrid fuzzy model
- Swarm intelligence and Evolutionary computation
