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- W2201260435 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." @default.
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- W2201260435 date "1991-03-25" @default.
- W2201260435 modified "2023-09-23" @default.
- W2201260435 title "Object oriented neural networks" @default.
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