A. T. Murgan

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A method for analysis and synthesis of recurrent discrete time neural networks with robust chaotic behavior is presented. Using this method, a new nonlinear activation function called saturated modulus was found to be the most efficient in order to get chaos even in small sizes neural networks. Based on weight space exploring using a searching strategy(More)
A new architecture and methods for information storage in neural networks are presented. Behaving as Adaptive Resonance Theory neural networks, the proposed architecture is based on a different operation principle called Chaos Resonance Theory . According to this theory, standard neural units were replaced with small recurrent neural networks with chaotic(More)
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