Network that learns what it actually does

Details Network that learns what it actually does Network that learns what it actually does

1995-03-23

1996-11-05

Davis, George B.

395 11, 395 24, G06F 1518

Patent

active

055726275

ABSTRACT:
A self-learning network with: (a) one or more sensor(s) in one or more a sensor unit(s) with a plurality of memory cells that forward-select values of one or more intermediate variable(s) I.sub.1, J.sub.1, . . . according to their stored values and the conditions identified by its sensor(s) in a given sensing and action period, (b) with or without one or more intermediate units with a plurality of bidirectional memory cells that forward-select a value of one or more intermediate output variable(s) I.sub.2, J.sub.2, . . . according to their stored values and the value(s) of the intermediate input variable(s) I.sub.1, J.sub.1, . . . , and (c) one or more actuator(s) in one or more actuator unit(s) connected to one or more intermediate variable(s) I.sub.1, J.sub.1, . . . or I.sub.2, J.sub.2, . . . with a plurality of bidirectional memory cells that forward-select values of one or more actuators according to their stored values and the value(s) of its intermediate variable(s) I.sub.1, J.sub.1, . . . or I.sub.2, J.sub.2, . . . The bidirectional memory cells then back-select a value of each intermediate co-variable I.sub.1 ', J.sub.1 ', or I.sub.2 ', J.sub.2 ', . . . according to their stored values and the actions that actually occur within each specific sensing and action periods. The stored values are reduced in the forward-selecting memory cells and, and the stored values are increased in the back-selecting bidirectional memory cells, and in the memory cells at the intersection of the back-selected value(s) of the intermediate co-variable I.sub.1 ', J.sub.1 ', . . . and the conditions identified by its sensor(s) in a given sensing and action period.

REFERENCES:
patent: 4802103 (1989-01-01), Faggin et al.
patent: 5384896 (1995-01-01), Sakaue et al.
patent: 5465321 (1995-11-01), Smyth

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