Paper Info
Title
Fusion of Soft Computing and Hard Computing: An Extension of Structural Categories
Abstract
Soft computing (SC) and hard computing (HC) methodologies are fused together successfully in numerous industrial applications. The principal aim is to develop computationally intelligent hybrid systems that are straightforward to analyze, their behavior and stability could be highly predictable, and the computational burden would be no more than moderate. All these goals are particularly important in embedded real-time applications. In our previous research, as an attempt to reinforce the concept of the fusion of SC and HC, we classified the different fusion structures to 12 core categories and six supplementary categories. In this paper, we review these structural categories with some refinement and extensions to further advance our research on the fusion of SC and HC.
Year
DOI
Venue
2005
10.1007/3-540-32391-0_40
SOFT COMPUTING AS TRANSDISCIPLINARY SCIENCE AND TECHNOLOGY
Keywords
Field
DocType
soft computing,hybrid system
Unconventional computing,Computer science,Fusion,Theoretical computer science,Soft computing,Hybrid system,Computer engineering
Conference
ISSN
Citations 
PageRank 
1615-3871
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Akimoto Kamiya1335.28
Seppo J. Ovaska229649.44