DocumentCode
2715195
Title
ART properties of interest in engineering applications
Author
Wunsch, Donald C., II
Author_Institution
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
fYear
2009
fDate
14-19 June 2009
Firstpage
3380
Lastpage
3383
Abstract
This paper briefly summarizes some valuable properties of ART architectures that are advantageous in engineering applications, and outlines some areas of likely future progress, together with their motivations. Some of ART´s advantages, such as its stability, biological plausibility, and responsiveness to the stability-plasticity dilemma, are well-described in the literature. This paper´s focus will be on the advantages of scalability, speed, configurability, potential for parallelization, and ability to interpret the results. A valuable new area of innovation will be the application of ART to more generalized data structures such as trees and grammars. Continued progress on distributed representations would be valuable because of increased data representation capability, both in terms of system capacity and template complexity. Another valuable area of progress would be removal of the dichotomy between match-based and error-based learning.
Keywords
ART neural nets; engineering computing; ART architecture; biological plausibility; data representation; engineering application; error-based learning; generalized data structure; grammar; match-based learning; stability-plasticity dilemma; system capacity; template complexity; trees; Equations; Extraterrestrial measurements; Hilbert space; Interpolation; Kernel; Machine learning; Neural networks; Standards development; Subspace constraints; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5179094
Filename
5179094
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