Data processing: artificial intelligence – Neural network
Patent
1997-09-11
2000-04-18
Hafiz, Tariq R.
Data processing: artificial intelligence
Neural network
706 26, G06N 300, G06N 306
Patent
active
060526793
ABSTRACT:
Artificial neural networks include a plurality of artificial neurons and a plurality of Boolean-complete compartments, a respective one of which couples a respective pair of artificial neurons. By providing Boolean-complete compartments, spurious complement memories can be avoided. A Boolean-complete compartment includes a collection of at least four Boolean functions that represent input vectors to the respective pair of artificial neurons. The collection of at least four Boolean functions are selected from sixteen possible Boolean functions that can represent input vectors to the respective pair of artificial neurons. A count for each of the at least four Boolean functions is also provided. The count represents a number of occurrences of each of the at least four Boolean functions in input vectors to the respective pair of artificial neurons. In order to read the artificial neural network, the network also includes a collection of transfer functions, a respective one of which is associated with a respective one the sixteen possible Boolean functions.
REFERENCES:
patent: 3950733 (1976-04-01), Cooper et al.
patent: 4044243 (1977-08-01), Cooper et al.
patent: 4254474 (1981-03-01), Cooper et al.
patent: 4326259 (1982-04-01), Cooper et al.
patent: 4660166 (1987-04-01), Hopfield
patent: 4760604 (1988-07-01), Cooper et al.
patent: 4897814 (1990-01-01), Clark
patent: 4943931 (1990-07-01), Allen
patent: 4972363 (1990-11-01), Nguyen et al.
patent: 5033006 (1991-07-01), Ishizuka et al.
patent: 5113367 (1992-05-01), Marrian et al.
patent: 5148385 (1992-09-01), Frazier
patent: 5265224 (1993-11-01), Maruno
patent: 5357597 (1994-10-01), Aparicio, IV et al.
patent: 5517597 (1996-05-01), Aparicio, IV et al.
Klaus-Uwe Hoffgen and Hans Ulrich Simon, Robust Trainability of Single Neurons, 92 Proc. of the 5th Annual ACM Workshop on Computational Learning Theory 428-39, Jul. 1992.
Ivan Stojmenovic, Completeness Criteria in Many-Valued Set Logic under Compositions with Boolean Functions, 94 Proc. of the 24th International Symposium on Multiple-Valued Logic 177-83, May 1994.
Aparicio, IV Manuel
Huang Yen-Min
Hafiz Tariq R.
International Business Machines - Corporation
Pender Michael
Ray-Yarletts Jeanine
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