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<p>A neural network expert system called adaptive connectionist expert system (ACES) which will learn adaptively from past experience is described. ACES is based on the neural logic network, which is capable of doing both pattern processing and logical inferencing. The authors discuss two strategies, pattern matching ACES and rule inferencing ACES. The pattern matching ACES makes use of past examples to construct its neural logic network and fine-tunes itself adaptively during its use by further examples supplied. The rule inferencing ACES conceptualizes new rules based on the frequencies of use on the rule-based neural logic network. A new rule could be considered as a pattern matching example and be incorporated into pattern matching ACES.</p>
adaptive learning capability; neural network expert system; adaptive connectionist expert system; past experience; neural logic network; pattern processing; logical inferencing; pattern matching ACES; rule inferencing ACES; past examples; neural logic network; adaptive systems; expert systems; inference mechanisms; neural nets; pattern recognition
H.H. Teh, A.H. Tan, B.T. Low, H.C. Lui, "Connectionist Expert System with Adaptive Learning Capability", IEEE Transactions on Knowledge & Data Engineering, vol. 3, no. , pp. 200-207, June 1991, doi:10.1109/69.88000
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