US3638196A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Learning machine
Assignee: Panasonic Holdings Corp
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Filing: 1970-07-13
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Granted: 1972-01-25
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Expires: 1990-07-13
Abstract
Abstract A learning machine in which threshold values corresponding to the desired output conditions and having a dead zone therebetween are used during the learning process for the discrimination of the output from a memory storing a plurality of standard pattern information, and this discriminating faculty is utilized for the discrimination of input pattern information with respect to a single threshold value having no dead zone. Thus, the precision of discrimination can be remarkably improved due to the fact that the threshold values having a dead zone are used during the learning process, and the learning can be digitally and automatically carried out.
Inventors
- 👤 Akira Nishiyama
- 👤 Hirokazu Yoshino
- 👤 Tomio Yoshida
- 👤 Tetsuo Yamaguchi
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-01 02:15
CPC Classifications
G; G06; G06F; G06F7/00; G06F7/02; G06F7/023
Claims Analysis
Total Claims: 9
Claim 1
Independent Claim
159 words
A learning machine comprising a memory for storing a plurality of standard pattern information, a plurality of weight elements connected to respective weight selective circuits for applying a variable weight factor, selecting means for selecting the output from said memory and input pattern information to be discriminated, a threshold value selection circuit, a decision circuit for generating an output corresponding to the relative magnitude of the sum of outputs from said weight elements and an output supplied from said threshold value selection circuit, and a learning pulse generator for supplying learning pulses to said weight selective circuits thereby varying the weight factors of said weight elements when the output from said decision circuit does not coincide with a desired output and driving said memory for deriving the next standard pattern information when the output from said decision circuit coincides with the desired output, whereby the standard pattern information can be successively learned for the discrimination of input pattern information.
Claim 2
Dependent Claim
159 words
A learning machine comprising a memory for storing a plurality of standard pattern information, a plurality of weight elements connected to respective weight selective circuits for applying a variable weight factor, selecting means for selecting the output from said memory and input pattern information to be discriminated, a threshold value selection circuit, a decision circuit for generating an output corresponding to the relative magnitude of the sum of outputs from said weight elements and an output supplied from said threshold value selection circuit, and a learning pulse generator for supplying learning pulses to said weight selective circuits thereby varying the weight factors of said weight elements when the output from said decision circuit does not coincide with a desired output and driving said memory for deriving the next standard pattern information when the output from said decision circuit coincides with the desired output, whereby the standard pattern information can be successively learned for the discrimination of input pattern information.
Claim 3
Dependent Claim
175 words
A learning machine as claimed in claim 1, in which said memory comprises a plurality of shift registers, first gate means connected across the input and output terminals of said shift registers, second gate means interposed between signal input terminals and the input terminals of said shift registers, and common selectively conducting means for causing one of the groups of said first and second gate means to conduct while cutting off the other group, so that said first gate means are cut off and said second gate means are urged to conduct by said selectively conducting means so as to successively write the standard pattern information supplied from said signal input terminals in said shift registers, and at the completion of the writing, said second gate means are cut off and said first gate means are urged to conduct by said selectively conducting means so as to successively supply the standard pattern information stored in said shift registers to said weight elements, and at the same time, to circulate same through said first gate means.
Claim 4
Dependent Claim
80 words
A learning machine as claimed in claim 1, in which each said weight selective circuit comprises a plurality of bistable multivibrators connected in cascade, first gate means for gating the output from said learning pulse generator and supplying a trigger pulse to said bistable multivibrators and a plurality of second gate means applied with different voltages representative of weight factors, so that one of said second gate means is selected by the output from said bistable multivibrators connected in cascade.
Claim 5
Dependent Claim
56 words
A learning machine as claimed in claim 1, in which each said weight element comprises gate means which controls the passage of the voltage representative of the weight factor supplied from said weight selective circuit in response to the standard pattern information supplied from said memory or the externally supplied input pattern information to be discriminated.
Claim 6
Dependent Claim
160 words
A learning machine as claimed in claim 1, in which said learning pulse generator comprises two inverse coincidence circuits to which the output from said decision circuit and the desired output are applied as inputs, first pulse-generating means connected tO one of said inverse coincidence circuits, weight factor decrement control signal generating means connected to said first pulse-generating means for controlling the decrement of the weight factor, weight factor increment control signal generating means receiving the output from the other said inverse coincidence circuit for controlling the increment of the weight factor, second pulse-generating means receiving the output from the other said inverse coincidence circuit and the output from said first pulse-generating means for responding to the logical sum of the inputs thereto for generating at least one learning pulse, and third pulse-generating means for reading out another standard pattern information stored in said memory upon detection of the coincidence between the two inputs applied to said inverse coincidence circuits.
Claim 7
Dependent Claim
49 words
A learning machine as claimed in claim 1, in which said threshold value selection circuit comprises selecting means for selecting one of a set of a desired output and a threshold value, and the desired output is selected during learning so that it is supplied as the threshold value.
Claim 8
Dependent Claim
50 words
A learning machine as claimed in claim 1, in which said threshold value selection circuit comprises means for selecting one of means generating a threshold value representative of a desired output and means generating a single threshold value and supplying the output from the selected means to said decision circuit.
Claim 9
Dependent Claim
59 words
A learning machine as claimed in claim 1, further comprising a trigger pulse generator having pulse-generating means for generating a pulse in response to an output pulse supplied from said learning pulse generator, and means for stopping the operation of said learning pulse generator for a predetermined period of time in response to the output from said pulse-generating means.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1975-01-24 | 1975-07-26 | 1976-01-25 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1979-01-24 | 1979-07-26 | 1980-01-25 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 1983-01-24 | 1983-07-26 | 1984-01-25 | $7700.00 | Window Closed / Lapsed |