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Sequential information processing, for instance the sequence memory, plays an important role on many functions of brain. In the workings of the brain, the steady-state period is alterable. But in the existing sequence memory models using hetero-associations, the steady-state period is changeless in the sequence recall. In this paper, multi-sequence memory with controllable steady-state period is proposed...
Neural networks approach is an advanced methodology used for intrusion detection. As a type of neural network, Self-organizing Maps (SOM) is getting more attention in the field of intrusion detection. In this paper, some improvements on SOM algorithm are made in order to increase detection rate and improve the stability of intrusion detection, include: (1) Modify the strategy of ldquowinner-take-allrdquo...
From both a neurobiological viewpoint and an implementation perspective, the neuron network is partially-connected. In this paper, we show that associative memory networks with complex topology. Owing to the partial connection in delta distribute network, the associative memory has feature of higher storage capacity, but the basin of attraction is shrunk. The comparison of the performance among the...
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