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
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;
Conference_Titel :
Control 1991. Control '91., International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-509-5