High Order Orthogonal Tensor Networks: Information Capacity and Reliability
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Abstract
Neural networks based on construction of orthogonal projectors in the tensor power of space of signals are described. A sharp estimate of their ultimate information capacity is obtained. The number of stored prototype patterns (prototypes) can many times exceed the number of neurons. A comparison with the error control codes is made
This paper has been withdrawn.
