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 Title: |
US5235673:
Enhanced neural network shell for application programs
[ 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: |
1993-08-10
/ 1991-04-18
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| Application Number: |
US1991000687582
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| IPC Code: |
Advanced:
G06F 15/18;
G06G 7/60;
G06N 3/02;
G06N 3/10;
G06N 99/00;
Core:
G06G 7/00;
G06N 3/00;
more...
IPC-7:
G06F 15/18;
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| ECLA Code: |
G06N3/10S;
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| U.S. Class: |
Current:
706/044;
Original:
395/076;
395/022;
395/026;
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| Field of Search: |
395/022,26,76
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| Priority Number: |
| 1991-04-18 |
US1991000687582 |
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| Abstract: |
An enhanced neural network shell for application programs is disclosed. The user is prompted to enter in non-technical information about the specific problem type that the user wants solved by a neural network. The user also is prompted to indicate the input data usage information to the neural network. Based on this information, the neural network shell creates a neural network data structure by automatically selecting an appropriate neural network model and automatically generating an appropriate number of inputs, outputs, and/or other model-specific parameters for the selected neural network model. The user is no longer required to have expertise in neural network technology to create a neural network data structure.
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| Attorney, Agent or Firm: |
Rose, Curtis G. ;
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| Primary / Asst. Examiners: |
MacDonald, Allen R.;
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| INPADOC Legal Status: |
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| Designated Country: |
BE CH DE ES FR GB IT LI NL SE
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| Family: |
Show 12 known family members
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First Claim:
Show all 23 claims |
What is claimed is:
1. A method of creating a neural network data structure for a neural network, comprising the machine executed steps of:
- prompting a user for a problem type;
- prompting said user for an input data file, said input data file having an input data format;
- selecting a neural network model based on said problem type and said input data format;
- prompting said user for input data usage information; and
- creating said neural network data structure for said neural network model selected by said selecting step based on said input data usage information.
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| Background / Summary: |
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| Drawing Descriptions: |
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| Description: |
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| Forward References: |
Show 20 U.S. patent(s) that reference this one
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