Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: IEEE International Conference on Neural Networks; HOUSTON, TX; HOUSTON, TX
Год издания: 1997
Ключевые слова: Information theory, Mathematical operators, Tensors, Vectors, Neural networks, High order orthogonal tensor networks, Error control code, Orthogonal projectors, Orthogonal tensors, Prototype patterns, Sharp estimates
Аннотация: 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 madПоказать полностьюe.
Журнал: 1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4
Номера страниц: 1311-1314
Место издания: NEW YORK
Издатель: I E E E