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

Meeting Name

International Conference on Neural Networks,1997

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Error Control Codes; Error Correction Codes; High Order Orthogonal Tensor Networks; Information Capacity; Neural Nets; Orthogonal Projectors; Reliability; Stored Prototype Patterns; Tensors

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1997 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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