Computational Intelligence and Neuroscience

Fusion of Computational Intelligence Techniques and Their Practical Applications


Publishing date
15 May 2015
Status
Published
Submission deadline
26 Dec 2014

Lead Editor

1Near East University, Mersin, Turkey

2Azerbaijan State Oil Academy, Baku, Azerbaijan

3Boğaziçi University, Istanbul, Turkey

4University of Toronto, Toronto, Canada

5University of Siegen, Siegen, Germany


Fusion of Computational Intelligence Techniques and Their Practical Applications

Description

Computational intelligence techniques inspired by evolution, by nature, and by the brain are playing important role in the solution of complex real-world problems. Fusion of computational intelligence techniques integrates neural networks, fuzzy systems, and evolutionary computing into system design that enables handling of complexity and managing of uncertainty and imprecision. Each respective technique enhances the capability of the other and the fusion of these paradigms in system design offsets the demerits of one paradigm by the merits of another.

Recently, computational intelligence techniques have been widely applied to a wide variety of complex problems, including engineering, science, and business. However, due to complexity and uncertainty in these problems, it becomes difficult to find out the optimal solution of the problems. Hereby it is necessary to consider the latest trends and developments in the field of fusion of computational intelligence techniques and to develop efficient computational models for solving practical problems. Fusion of computational intelligence techniques covers the spectrum of applications, comprehensively demonstrating the advantages of fusion techniques in industrial applications that deal with various kinds of inaccuracies and uncertainties.

The aim of this special issue is to present research articles as well as review articles that investigate the fusion of computational intelligence techniques, design computational models, and evaluate their outcomes. We are particularly interested in articles describing the new structures, algorithms, and advances in the design of system based on fusion of neural networks, fuzzy systems, and evolutionary algorithms.

Potential topics include, but are not limited to:

  • Mathematical foundations of computational models based on the fusion of computational intelligence techniques
  • Fusion of neural network and fuzzy systems
  • Fusion of fuzzy systems and evolutionary algorithms
  • Fusion of neural network and evolutionary algorithms
  • Fusion of neural network, fuzzy systems, and evolutionary algorithms
  • Fusion of statistical methods and computational intelligence techniques
  • Learning theory (derivative based, derivative free)
  • Practical application of computational intelligence techniques in engineering, science, and business

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 918305
  • - Research Article

Prognostics of Lithium-Ion Batteries Based on Wavelet Denoising and DE-RVM

Chaolong Zhang | Yigang He | ... | Jinping Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 463147
  • - Editorial

Fusion of Computational Intelligence Techniques and Their Practical Applications

Rahib H. Abiyev | Rafik Aliev | ... | Karl Walter Bonfig
  • Special Issue
  • - Volume 2015
  • - Article ID 583759
  • - Research Article

An Enhanced Differential Evolution with Elite Chaotic Local Search

Zhaolu Guo | Haixia Huang | ... | Zhijian Wu
  • Special Issue
  • - Volume 2015
  • - Article ID 642429
  • - Research Article

Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks

Charles E. Martin | James A. Reggia
  • Special Issue
  • - Volume 2015
  • - Article ID 760403
  • - Research Article

Application of -Number Based Modeling in Psychological Research

Rafik Aliev | Konul Memmedova
  • Special Issue
  • - Volume 2015
  • - Article ID 364512
  • - Research Article

Expected Utility Based Decision Making under -Information and Its Application

Rashad R. Aliev | Derar Atallah Talal Mraiziq | Oleg H. Huseynov
  • Special Issue
  • - Volume 2015
  • - Article ID 374873
  • - Research Article

Cuckoo Search Algorithm Based on Repeat-Cycle Asymptotic Self-Learning and Self-Evolving Disturbance for Function Optimization

Jie-sheng Wang | Shu-xia Li | Jiang-di Song
  • Special Issue
  • - Volume 2015
  • - Article ID 967320
  • - Research Article

Optimization of High-Dimensional Functions through Hypercube Evaluation

Rahib H. Abiyev | Mustafa Tunay
  • Special Issue
  • - Volume 2015
  • - Article ID 796276
  • - Research Article

Symmetry Based Automatic Evolution of Clusters: A New Approach to Data Clustering

Singh Vijendra | Sahoo Laxman
  • Special Issue
  • - Volume 2015
  • - Article ID 735060
  • - Research Article

Predictive Modeling in Race Walking

Krzysztof Wiktorowicz | Krzysztof Przednowek | ... | Tomasz Krzeszowski
Computational Intelligence and Neuroscience
 Journal metrics
Acceptance rate28%
Submission to final decision79 days
Acceptance to publication37 days
CiteScore5.400
Journal Citation Indicator0.630
Impact Factor3.633
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