Data processing: artificial intelligence – Neural network – Structure
Reexamination Certificate
2007-05-08
2007-05-08
Hirl, Joseph P (Department: 2129)
Data processing: artificial intelligence
Neural network
Structure
C706S012000
Reexamination Certificate
active
10388559
ABSTRACT:
A memory system and a method as well as robotic apparatus are strong against noise and excellent in memory capacity, volume of calculation, quantity of physical memory, and memory responsiveness. It is designed to store, in the frame form, the first information on a symbol as well as the second information on a symbol supplied separately from a variety of inputs in relation to competitive neurons corresponding to the symbol in a way to strengthen the connection between relevant input neurons and competitive neurons in response to the input patterns of a variety of inputs for each symbol with the use of a competitive neural network having a set of input layers composed of a plurality of input neurons and a set of competitive layers composed of a plurality of competitive neurons.
REFERENCES:
patent: 6175772 (2001-01-01), Kamiya et al.
patent: 2001 52175 (2001-02-01), None
Ohtani Shinya
Yokono Jun
Frommer William S.
Frommer & Lawrence & Haug LLP
Hirl Joseph P
Sony Corporation
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