DocumentCode
274708
Title
Object oriented neural networks
Author
Emam, K. El ; Khalafalla, F.B. ; Hoptroff, R.G. ; Hall, T.J.
Author_Institution
King´´s Coll., London, UK
fYear
1991
fDate
25-28 Mar 1991
Firstpage
1007
Lastpage
1010
Abstract
Artificial neural networks offer feasible solutions to highly complex problems, such as those encountered in many control problems. Their potency lies primarily in providing a suitable framework for the development of knowledge representation systems. The paper outlines the compatibility and advantages of object-oriented technology for software simulation and application of neural networks. For this, a number of computational models are discussed, particularly in relation to concurrency and distributed processing, real-time performance issues, fault tolerance and accuracy. A brief description of the implementation of the C++ programming language is presented
Keywords
learning systems; neural nets; object-oriented programming; parallel processing; software reusability; C++; accuracy; concurrency; distributed processing; fault tolerance; knowledge representation systems; object-oriented neural nets; real-time performance issues; software simulation;
fLanguage
English
Publisher
iet
Conference_Titel
Control 1991. Control '91., International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-509-5
Type
conf
Filename
98588
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