U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Neural networks

Patent 5515477 Issued on May 7, 1996. Estimated Expiration Date: Icon_subject October 20, 2013. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Neural network with non-linear transformations
Patent #: 4979126
Issued on: 12/18/1990
Inventor: Pao, et al.

Associative pattern conversion system and adaptation method thereof
Patent #: 5040230
Issued on: 08/13/1991
Inventor: Takatori, et al.

Neural network auto-associative memory with two rules for varying the weights
Patent #: 5050095
Issued on: 09/17/1991
Inventor: Samad

Artificial neural device utilizing phase orientation in the complex number domain to encode and decode stimulus response patterns Patent #: 5214745
Issued on: 05/25/1993
Inventor: Sutherland

Inventor

Application

No. 133196 filed on 10/20/1993

US Classes:

706/41, Digital neural network128/925, Neural network706/16, Learning task706/27Architecture

Examiners

Primary: Moore, David K.
Assistant: Hafiz, Tariq R.

International Classes

G06F 015/80
G06F 015/18

Foreign Application Priority Data

1991-04-22 CA

Abstract

The present invention relates to adaptive information processing systems, and in particular to associative memories utilizing confidence-mediated associations, and especially neural network systems comprising an auto-organizational apparatus and processes for dynamically mapping an input onto a semantically congruous and contemporaneously-valid, learned response. In particular the present invention relates to such an associative memory system in which provision is made for improving the congruence between an associative memory, by impressing a desired response on an associative memory mapping based on complex polar values.

Other References

  • Grant et al, "Synthesis of a class of artificial neural network using a CMOS current mode building block approach"; IEEE Colloquim on `Advances in Analogue VLSI`, p. 8/1-10, 14 May 1991
  • Tsai et al, "An associative memory knowledge base for diagnostic and high level control functions"; Proceedings of the 2nd international IEEE conference on tools for artificial intelligence, p. 283-8, 6-9 Nov. 1990
  • Specht, "Probabalistic nerual networks for classification, mapping, or associative memory"; IEEE International Conference on Neural Networks, p. 525-32 vol. 1, 24-27 Jul. 198
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