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Kak neural network
The Kak neural network, which was first proposed by Subhash Kak, is an instantaneously trained neural network that creates a new hidden neuron for each training sample, achieving instantaneous training for binary data and also for real data if some small additional processing is allowed. These networks, therefore, model short-term biological memory.
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