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Decouple implementation of weight decay for recursive least square
In the conventional recursive least square (RLS) algorithm for multilayer feedforward neural networks, controlling the initial error covariance matrix can limit weight magnitude. However, the weight decay effe...
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Article
Editorial for special issue on ICONIP2010 “applications of neural information processing”
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The effect of weight fault on associative networks
In the past three decades, the properties of associative networks has been extensively investigated. However, most existing results focus on the fault-free networks only. In implementation, network faults can ...