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SELECTIVE ATTENTION ADAPTIVE RESONANCE THEORY
SELECTIVE ATTENTION ADAPTIVE RESONANCE THEORY
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机译：选择性注意自适应共振理论
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摘要
A pattern recognition system for using an artificial neural network architecture that is capable of using its memory to selectively attend to and recognise a learned pattern even when that pattern is embedded in a complex or noisy background. The proposed neural network is used for advanced signal processing in pattern recognition problems that are too difficult or not possible to be solved by the traditional approaches of artificial intelligence and engineering. The pattern recognition system has a neural network architecture consisting of at least two layers in communication with each other, the first layer being a memory layer and having means to store a plurality of memory fields, the second layer adapted to receive an external input and comprising a modulation means that modulates said external input to produce a modulated signal, a comparison means that compares the memory fields of the memory layer with the modulated signal and amplifies those portions of the modulated signal that are located in the memory fields thereby producing an indicator of a match between the memory field and the modulated signal.
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