US3596258A
Expired / Lapsed
US
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Expanded search method and system in trained processors
Assignee: Texas Instruments Inc
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Filing: 1969-12-30
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Granted: 1971-07-27
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Expires: 1989-12-30
Abstract
Abstract Operation of a trained processor beyond an untrained point where successive time sampled sets of level dependent signals stored in a tree storage array at successive memory locations along with a trained response for each set at a subsequent memory location form a data base to locate and extract a trained response to subsequent sets encountered following completion of training. A test set forming an untrained point is sequentially compared with each trained set stored in memory to establish and store a difference function relative to each trained set. Logic means selects as the trained response for the untrained point the trained response from those trained responses for which the trained sets have the same minimal difference function and which satisfies a predetermined decision criteria.
Inventors
- 👤 William C Choate
- 👤 Michael K Masten
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-23 16:25
CPC Classifications
G; G06; G06F; G06F16/00; G06F16/90; G06F16/901; G06F16/9027
Claims Analysis
Total Claims: 14
Claim 1
Independent Claim
138 words
The method of operating a trained processor beyond an untrained point where successive time sampled sets of level dependent signals stored in a tree storage array at successive memory locations along with a trained response for each set at a subsequent memory location form a data base to locate and extract a trained response to subsequent sets encountered following completion of training, which comprises: a. sequentially comparing a test set forming said untrained point with each trained set stored in said memory, b. establishing and storing a difference function from the comparison with each said trained set, and c. selecting and utilizing as the trained response for said untrained point that trained response from those for which the trained sets have the same minimal difference function relative to said untrained point and which satisfies a predetermined decision criteria.
Claim 2
Independent Claim
138 words
The method of operating a trained processor beyond an untrained point where successive time sampled sets of level dependent signals stored in a tree storage array at successive memory locations along with a trained response for each set at a subsequent memory location form a data base to locate and extract a trained response to subsequent sets encountered following completion of training, which comprises: a. sequentially comparing a test set forming said untrained point with each trained set stored in said memory, b. establishing and storing a difference function from the comparison with each said trained set, and c. selecting and utilizing as the trained response for said untrained point that trained response from those for which the trained sets have the same minimal difference function relative to said untrained point and which satisfies a predetermined decision criteria.
Claim 3
Dependent Claim
30 words
The method of claim 1 wherein during training, the frequency with which each input set is encountered is stored and wherein said decision criteria is based upon said stored frequency.
Claim 4
Dependent Claim
72 words
The method of claim 2 wherein each difference function is separately stored, wherein a minimum difference function is stored and compared with each subsequent difference function, wherein, for all difference functions equally and minimally different from said untrained point, the trained responses and an indicia of said frequency are stored in a temporary storage means, and wherein said indicia are compared to select the trained response for whom the indicia is maximum.
Claim 5
Dependent Claim
27 words
The method according to claim 1 wherein the selected trained response is formed by averaging the trained response for all sets which have the same minimal difference.
Claim 6
Independent Claim
222 words
The method of operating a trained processor beyond an untrained point where successive time sampled sets of level dependent input signals stored in a tree storage array at successive memory locations along with a trained response for each set at a subsequent memory location form a data base to locate and extract a trained response for subsequent sets encountered following completion of training, which comprises: a. comparing the signals of said untrained point, member by member, with the corresponding members of the first of said trained sets and subsequent trained sets, b. summing for each trained sEt the difference values for all members of said set to establish for each set a total difference function, c. storing said total difference function in two separate storage means for the first set, d. comparing the difference function for any set with the difference function for the succeeding set and substituting the succeeding difference function for that of its preceding set if the succeeding difference is smaller, e. storing in temporary storage the trained response for each training set with respect to which said difference function is of the same level and is less than all others, f. applying a decision logic to the temporarily stored trained responses to select as the trained response for said untrained point, the response satisfying a predetermined decision criteria.
Claim 7
Independent Claim
222 words
The method of operating a trained processor beyond an untrained point where successive time sampled sets of level dependent input signals stored in a tree storage array at successive memory locations along with a trained response for each set at a subsequent memory location form a data base to locate and extract a trained response for subsequent sets encountered following completion of training, which comprises: a. comparing the signals of said untrained point, member by member, with the corresponding members of the first of said trained sets and subsequent trained sets, b. summing for each trained sEt the difference values for all members of said set to establish for each set a total difference function, c. storing said total difference function in two separate storage means for the first set, d. comparing the difference function for any set with the difference function for the succeeding set and substituting the succeeding difference function for that of its preceding set if the succeeding difference is smaller, e. storing in temporary storage the trained response for each training set with respect to which said difference function is of the same level and is less than all others, f. applying a decision logic to the temporarily stored trained responses to select as the trained response for said untrained point, the response satisfying a predetermined decision criteria.
Claim 8
Dependent Claim
39 words
The method of claim 5 wherein there is stored in said temporary storage, indicia of the frequency of occurrences of the training sets for the temporarily stored trained responses, and wherein said selection is based upon the maximum frequency.
Claim 9
Dependent Claim
35 words
The method according to claim 5 wherein said predetermined decision involves the frequency with which a given trained response magnitude function was stored in training as one component of a plurality of decision criteria components.
Claim 10
Dependent Claim
133 words
In an automatic system trained to produce trained responses to successive sets of input signals wherein signal samples comprising each said set for each trained response and the corresponding trained response are stored at successive locations in a random access memory, the combination which comprises: a. comparison means responsive to an execution signal set not encountered in training successively to compare said execution set, component by component, with all stored sets, b. means for storing the difference function from said comparison means for each trained set, c. means responsive to completion of the comparisons for producing a trained response dependent upon those trained responses having the same minimal difference function producing during said comparisons, d. means for utilizing the selected trained response in said system as the trained response for said untrained point.
Claim 11
Dependent Claim
133 words
In an automatic system trained to produce trained responses to successive sets of input signals wherein signal samples comprising each said set for each trained response and the corresponding trained response are stored at successive locations in a random access memory, the combination which comprises: a. comparison means responsive to an execution signal set not encountered in training successively to compare said execution set, component by component, with all stored sets, b. means for storing the difference function from said comparison means for each trained set, c. means responsive to completion of the comparisons for producing a trained response dependent upon those trained responses having the same minimal difference function producing during said comparisons, d. means for utilizing the selected trained response in said system as the trained response for said untrained point.
Claim 12
Dependent Claim
32 words
The system according to claim 8 in which means including comparison logic network is provided for selecting the trained response from the minimal difference group which most often was encountered during training.
Claim 13
Dependent Claim
190 words
In an automatic system trained to produce trained responses to successive sets of input signals wherein signal samples comprising each said set for each trained response and the corresponding trained response are stored at successive locations in a random access memory, the combination which comprises: a. comparison means responsive to an execution signal set not encountered in training successively to compare said execution set, component by component, with all stored sets, b. temporary storage means for storing the difference function from said comparison means for each trained sets, c. output storage means for storing the trained responses for trained sets involved in said comparison means, d. means for comparing a contemporary difference function with a prior difference function and for substituting said contemporary difference function for said prior difference function if the former is less than the latter, e. means responsive to completion of the comparisons for producing a trained response dependent upon those trained responses in said output storage means having the same minimal difference function producing during said comparisons, f. means for utilizing the selected trained response in said system as the trained response for said untrained point.
Claim 14
Dependent Claim
190 words
In an automatic system trained to produce trained responses to successive sets of input signals wherein signal samples comprising each said set for each trained response and the corresponding trained response are stored at successive locations in a random access memory, the combination which comprises: a. comparison means responsive to an execution signal set not encountered in training successively to compare said execution set, component by component, with all stored sets, b. temporary storage means for storing the difference function from said comparison means for each trained sets, c. output storage means for storing the trained responses for trained sets involved in said comparison means, d. means for comparing a contemporary difference function with a prior difference function and for substituting said contemporary difference function for said prior difference function if the former is less than the latter, e. means responsive to completion of the comparisons for producing a trained response dependent upon those trained responses in said output storage means having the same minimal difference function producing during said comparisons, f. means for utilizing the selected trained response in said system as the trained response for said untrained point.
References Cited (Backward Citations)
No citation records indexed.
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1974-07-26 | 1975-01-25 | 1975-07-27 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1978-07-26 | 1979-01-25 | 1979-07-27 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 1982-07-26 | 1983-01-25 | 1983-07-27 | $7700.00 | Window Closed / Lapsed |