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 Title: |
US5546505:
Program product for facilitating use of a neural network
[ Derwent Title ]
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| Country: |
US United States of America
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| Inventor: |
Austvold, Shawn M.; Rochester, MN
Bigus, Joseph P.; Rochester, MN
Henckel, Jonathan D.; Rochester, MN
Hospers, Paul A.; Rochester, MN
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| Assignee: |
International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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| Published / Filed: |
1996-08-13
/ 1994-05-27
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| Application Number: |
US1994000251532
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| IPC Code: |
Advanced:
G06N 3/10;
Core:
G06N 3/00;
IPC-7:
G06F 15/18;
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| ECLA Code: |
G06N3/10S;
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| U.S. Class: |
Current:
706/044;
706/015;
706/060;
Original:
395/026;
395/076;
395/021;
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| Field of Search: |
395/026,76,22,23,24,27,21
360/131
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| Priority Number: |
| 1994-05-27 |
US1994000251532 |
| 1992-12-03 |
US1992000986889 |
| 1991-04-18 |
US1991000687364 |
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| Abstract: |
A neural network development utility assists a developer in generating one or more filters for data to be input to or output from a neural network. A filter is a device which translates data in accordance with a data transformation definition contained in a translate template. Source data for the neural network may be expressed in any arbitrary combination of symbolic or numeric fields in a data base. The developer selects those fields to be used from an interactive menu. The utility scans the selected field entries in the source data base to identify the logical type of each field, and creates a default translate template based on this scan. Numeric data is automatically scaled. The developer may use the default template, or edit it from an interactive editor. When editing the template, the developer may select from a menu of commonly used neural network data formats, and from a menu of commonly used primitive mathematical operations. The developer may interactively define additional filters to perform data transformations in series, thus achieving more complex mathematical operations on the data. Templates may be edited at any time during the development process. If a network does not appear to be giving satisfactory results, the developer may easily alter the template to present inputs in some other format.
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| Attorney, Agent or Firm: |
Gamon, Owen J. ;
Truelson, Roy W. ;
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| Primary / Asst. Examiners: |
Downs, Robert W.;
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| Maintenance Status: |
E3 Expired Check current status
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| INPADOC Legal Status: |
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Family Legal Status Report
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| Parent Case: |
This is a divisional of application Ser. No. 07/986,889 filed on Dec. 3, 1992, now U.S. Pat. No. 5,317,676, which is a continuation of application Ser. No. 07/687,364 filed on Apr. 18, 1991 now abandoned.
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| Designated Country: |
CH DE ES FR GB IT LI NL SE
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| Family: |
Show 10 known family members
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First Claim:
Show all 7 claims |
What is claimed is:
1. A program product for executing on a computer to enable an application program to run a neural network, said program product comprising a computer readable recording medium and a plurality of computer executable instructions recorded thereon, said computer executable instructions comprising:
- means for identifying source data generated by said application program to be used by the neural network, said source data comprising a plurality of source data fields;
- translation definition means for defining, with respect to each of said source data fields, a corresponding data transformation, wherein at least one of said data transformations is a transformation of data of one data type to data of another data type, and wherein said translation definition means comprises means for automatically generating a default data transformation definition with respect to each of said source data fields; and
- means, responsive to said translation definition means, for translating source data contained in each said source data field according to the data transformation corresponding to said source data field, to produce a neural network input.
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| Background / Summary: |
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| Drawing Descriptions: |
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| Description: |
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| Forward References: |
Show 4 U.S. patent(s) that reference this one
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| Foreign References: |
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| Other Abstract Info: |
DERABS G1992-351568
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| Other References: |
"Neural Nets: They Learn From Examples", Chemical Engineering, Aug. 1990.
"An Introduction to Neural to Neural Nets", Phiroz Bhagat, Exxon Research & Engineering Co., Florham Park, NJ 07932, Chemical Engineering Progress, Aug. 1990.
"Automated Design of Neural Networks For Symbolic Signal Processing", IEEE, 1989 Andrea Maccato & Rui J. P. de Figueiredo, Rice Univ. Houston, TX 77251-1802.
"A Graphical Design System For Neural Networks", Greg Hood, Computer Science Dept., Carnegie Mellon Univ., Pittsburgh, PA 15213, IJCNN'87, 1987, pp. III-453-III-460.
McClelland et al., Explorations in Parallel Distributed Processing MIT Press, 1988, v-3.
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