Calls for papers

 

International Journal of Intelligent Systems Technologies and Applications

 

Special Issue on: "Hybrid Intelligent Systems: Theory and Applications"

Guest Editors:
Prof. Zhihua Cui, Taiyuan University of Science and Technology, China
Prof. Juan Luis Fernández Martínez, Universidad de Oviedo, Spain
Prof. Rajan Alex, West Texas A&M University, USA
Dr. Bijaya Ketan Panigrahi, Indian Institute of Technology Delhi, India

Hybridisation of intelligent systems is a promising research field of modern artificial/computational intelligence concerned with the development of the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness in the academic communities that combined approaches will be necessary if the remaining tough problems in artificial/computational intelligence are to be solved. Recently, Hybrid Intelligent Systems are becoming popular due to their capabilities in handling several real world complexities involving imprecision, uncertainty and vagueness.

Application of Hybrid Intelligent Systems to real-world problems is, however, complicated, as it requires crucial options among several approaches proposed so far in this domain. Further, results and lessons learnt from the application of HIS to real-world problems are of major significance for methodological research with the intention of refining the existing methods or devising new techniques.

The overall aim of this special issue is to compile the latest research and development, up-to-date issues, and challenges in the field of HIS. Proposed submissions should be original, unpublished, and present novel in-depth fundamental research contributions either from a methodological perspective or from an application point of view.

Subject Coverage
Suitable topics include, but are not limited to, the following:

• Interactions between neural networks and fuzzy inference systems
• Artificial neural network optimisation using global optimisation techniques
• Fuzzy clustering algorithms and optimisation techniques
• Hybrid computing using neural networks - fuzzy systems - evolutionary algorithms
• Hybrid optimisation techniques (evolutionary algorithms, simulated annealing, tabu search, GRASP etc.)
• Hybrid of soft computing and statistical learning techniques
• Image and signal processing
• Internet modelling, communication and networking
• Data mining
• Computational biology and bioinformatics

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscripts due by: 30 June, 2015

Notification to authors: 30 July, 2015

Final version submission: 30 August, 2015