21 March 1989 Styles Of Programming In Neural Networks And Expert Systems
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Neural networks and expert systems provide different ways to reduce the programming effort required to build complex systems. Adaptive neural networks are programmed merely by training them with examples. Rule-based expert system are developed incrementally merely by adding rules. Although neural networks seem best suited for low-level sensory processing and expert systems seem best suited for high-level symbolic processing, strikingly similar issues arise when these approaches are used in large-scale applications. Illustrative examples of such applications are presented and discussed.
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Richard O. Duda, Richard O. Duda, } "Styles Of Programming In Neural Networks And Expert Systems", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969304; https://doi.org/10.1117/12.969304

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