Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and Knowledge Engineering

Author(s):  
Nikola Kasabov
Author(s):  
SATHIT NAKKRASAE ◽  
PERAPHON SOPHATSATHIT

Software Engineering is not only a technical discipline of its own, but also a problem domain where technologies coming from other disciplines are relevant and can play important roles. One important example is knowledge engineering, a term that is used in a broad sense to encompass artificial intelligence, computational intelligence, knowledge bases, data mining, and machine learning [13]. Many typical software development issues can benefit from these disciplines. For this reason, we will employ computational intelligence approach to classify software component repository into similar component cluster groups with the help of Rival Penalized Competitive Learning algorithm. The center of each cluster will be used to construct the coarse grain classification indexing structure. Subsequent retrieval requirements of software components are compared with all the indexed cluster centers. Any software components belonging to the cluster partition whose center is closest to the required software component will be retrieved and participated in selecting the most suitable software component at the fine grain level. This approach not only is suitable for multi-dimensional data, but also automatically decides the correct model classification.


1989 ◽  
Author(s):  
Fritz H. Brecke ◽  
Patrick Hays ◽  
Donald Johnston ◽  
Gail Slemon ◽  
Jane McGarvey ◽  
...  

Author(s):  
V. I. Onoprienko

An expansion of information technologies in the world today is caused by progress of instrumental knowledge. It has been arisen a special technological area of knowledge engineering, which is related to practical rationality and experts’ knowledge for solving urgent problems of science and practice.


Author(s):  
John Debenham

Sign in / Sign up

Export Citation Format

Share Document