US5553196A
Expired / Lapsed
US
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Method for processing data using a neural network having a number of layers equal to an abstraction degree of the pattern to be processed
Assignee: Yozan Inc
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Filing: 1995-06-05
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Granted: 1996-09-03
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Expires: 2015-06-05
Abstract
Abstract There is provided a layer construction of neural layers according to the abstraction degree of data to be processed, and data is inputted to a neural layer corresponding to its abstraction degree.
Inventors
- 👤 Sunao Takatori
- 👤 Ryohei Kumagai
- 👤 Koji Matsumoto
- 👤 Makoto Yamamoto
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-04 14:50
CPC Classifications
G; G06; G06N; G06N3/00; G06N3/02; G06N3/06; G06N3/063; G06N3/04; G06N3/0464; G06N3/08; G06N3/09; G06T; G06T7/00; G06V; G06V10/00; G06V10/40; G06V10/46
Claims Analysis
Total Claims: 15
Claim 1
Independent Claim
87 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network, a number of processing layers within said neural network corresponding to a number of different abstraction degrees associated with said input data; generating an output from said neural network corresponding to said input data using said neural network; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 2
Independent Claim
87 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network, a number of processing layers within said neural network corresponding to a number of different abstraction degrees associated with said input data; generating an output from said neural network corresponding to said input data using said neural network; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 3
Dependent Claim
39 words
A method for processing data according to the method of claim 1, wherein the number of processing layers within said neural network is increased with an increase in a number of different abstraction degrees associated with said input data.
Claim 4
Dependent Claim
40 words
A method for processing data according to the method of claim 1, wherein the number of processing layers within said neural network is increased proportionately with an increase in a number of different abstraction degrees associated with said input data.
Claim 5
Independent Claim
80 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network having a number of processing layers equal to a number of different abstraction degrees associated with said input data; generating an output from said neural network corresponding to said input data; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 6
Independent Claim
80 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network having a number of processing layers equal to a number of different abstraction degrees associated with said input data; generating an output from said neural network corresponding to said input data; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 7
Independent Claim
96 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network having a number of processing layers equal to a number of different abstraction degrees associated with said input data, whereby input data having a same abstraction degree are input to one of said processing layers; generating an output from said neural network corresponding to said input data; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 8
Independent Claim
96 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network having a number of processing layers equal to a number of different abstraction degrees associated with said input data, whereby input data having a same abstraction degree are input to one of said processing layers; generating an output from said neural network corresponding to said input data; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 9
Dependent Claim
33 words
A method of processing as recited in claim 5, whereby at least one group of input data characterized with a same abstraction degree is input to each processing layer in said neural network.
Claim 10
Independent Claim
115 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network having a number of processing layers equal to a number of different abstraction degrees associated with said input data, where all input data having a lowest abstraction degree are input to a first processing layer, and where input data respectively input to each subsequent processing layer in said network increases sequentially in abstraction degree; generating an output from said neural network corresponding to said input data; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 11
Independent Claim
115 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network having a number of processing layers equal to a number of different abstraction degrees associated with said input data, where all input data having a lowest abstraction degree are input to a first processing layer, and where input data respectively input to each subsequent processing layer in said network increases sequentially in abstraction degree; generating an output from said neural network corresponding to said input data; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 12
Independent Claim
88 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network, a number of processing layers within said neural network being related to a number of different abstraction degrees associated with said input data; generating an output from said neural network corresponding to said input data using said neural network; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 13
Independent Claim
88 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network, a number of processing layers within said neural network being related to a number of different abstraction degrees associated with said input data; generating an output from said neural network corresponding to said input data using said neural network; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 14
Independent Claim
91 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network, wherein a relationship exists between a number of processing layers within said neural network and a number of different abstraction degrees associated with said input data; generating an output from said neural network corresponding to said input data using said neural network; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
Claim 15
Independent Claim
91 words
A method for processing data including the steps of: inputting a plurality of input data to be processed, each input data having an associated abstraction degree; forming a neural network, wherein a relationship exists between a number of processing layers within said neural network and a number of different abstraction degrees associated with said input data; generating an output from said neural network corresponding to said input data using said neural network; and determining a pattern of features of said input data corresponding to said output generated from said neural network.
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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) | 1999-09-03 | 2000-03-04 | 2000-09-03 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2003-09-03 | 2004-03-04 | 2004-09-03 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2007-09-03 | 2008-03-04 | 2008-09-03 | $7700.00 | Window Closed / Lapsed |