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- W2160368683 abstract "The paper investigates the integration of the neural network technique and traditional AI techniques towards the realization of a real-time neuron-based AI architecture. As the first step of our project, we propose a neural network based AI system, called NAI. NAI is a kind of real-time CBR (case-based reasoning) system in which the WTA (winner-take-all) type neural network is embedded for supporting the real-time classification and retrieval of a massive case-base. For flexible learning with the WTA neural network, two learning algorithms (supervised and unsupervised) have been developed on the basis of the LVQ1 and self-organizing learning algorithms." @default.
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- W2160368683 date "2002-11-19" @default.
- W2160368683 modified "2023-09-26" @default.
- W2160368683 title "A construction of neural-net based AI systems" @default.
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- W2160368683 doi "https://doi.org/10.1109/iceccs.1995.479369" @default.
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