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Title: US5611020: Neural network shell for application programs
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Country: US United States of America

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35 pages

 
Inventor: Bigus, Joseph P.; Rochester, MN

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1997-03-11 / 1995-06-02

Application Number: US1995000459061

IPC Code: Advanced: G06N 3/04;
Core: G06N 3/00;
IPC-7: G03F 15/18;

ECLA Code: G06N3/04;

U.S. Class: Current: 706/025; 706/044; 706/060;
Original: 395/023; 395/026;

Field of Search: 395/026,21,76,22,11

Priority Number:
1995-06-02  US1995000459061
1993-06-11  US1993000075370
1992-03-10  US1992000849116
1990-02-20  US1990000482450

Abstract: A neural network shell has a defined interface to an application program. By interfacing with the neural network shell, any application program becomes a neural network application program. The neural network shell contains a set of utility programs that transfers data into and out of a neural network data structure. This set of utility programs allows an application program to define a new neural network model, create a neural network data structure, train a neural network, and run a neural network. Once trained, the neural network data structure can be transported to other computer systems or to application programs written in different computing languages running on similar or different computer systems.

Attorney, Agent or Firm: Gamon, Owen J. ; Rose, Curtis G. ;

Primary / Asst. Examiners: Downs, Robert W.;

Maintenance Status: E3 Expired  Check current status
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Related Applications:
Application Number Filed Patent Pub. Date  Title
US1993000075370 1993-06-11    1995-09-12  Neural network shell for application programs
US1992000849116 1992-03-10    1993-06-22  Neural network shell for application programs
US1990000482450 1990-02-20    1992-08-25  Neural network shell for application programs


       
Parent Case:     This is a divisional of application Ser. No. 08/075,370 filed Jun. 11, 1993, now issued as U.S. Pat. No. 5,450,529, which is a divisional of application Ser. No. 07/849,116 filed on Mar. 10, 1992, now issued as U.S. Pat. No. 5,222,196, which was a divisional of application Ser. No. 07/482,450, filed on Feb. 20, 1990, now issued as U.S. Pat. No. 5,142,665.

Designated Country: CH DE ES FR GB IT LI NL SE 

Family: Show 14 known family members

First Claim:
Show all 10 claims
What is claimed is:     1. A program product for enabling an application program in a computer system to run one of a plurality of defined neural network models, thereby becoming a neural network having an input for data and an output for a result, comprising:
  • a recording medium containing instructions capable of being executed on the computer system;
  • means, recorded on the recording medium, for creating a neural network data structure in memory of the computer system, wherein the neural network data structure defines a structure and organization of a plurality of data arrays in the memory, wherein the plurality of data arrays have data types and an order within the neural network data structure, wherein the neural network data structure is common and genetic to all of the plurality of defined neural network models, and wherein the plurality of data arrays have data values specific to a selected one of said plurality of defined neural network models;
  • means, recorded on the recording medium, for teaching said neural network by presenting training data at said input of said neural network and repeatedly adjusting the values of said plurality of data arrays until said result at said output is within tolerance of a correct result; and
  • means, recorded on the recording medium, for running said neural network by presenting actual data at said input and retrieving the result from said output of said neural network.


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Forward References: Show 1 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (1)   |   Backward references (0)   |   Citation Link

       
Foreign References: None

Other Abstract Info: DERABS G1991-254543

Other References:
  • P. Koikkalainen and E. Oja, "Specification and Implementation Environment for Neural Networks Using Communicating Sequential Processes," IEEE Int'l. Conf. on Neural Networks, pp. I-533 to I-540. Jul. 1988.
  • G. Works, "The Creation of Delta: A New Concept in ANS Processing," 1988 IEEE Int'l. Conf. on Neural Networks, pp. II-159 to II-164. Jul. 1988.
  • G. Whittington and C. Spracklen, "ANDS: A Second Generation Neural Network Development System," CONPAR '88, pp. 84-91. Sep. 1988.
  • J. McClelland and D. Rumelhart, Explorations in Parallel Distributed Processing--A Handbook of Models, Programs, and Exercises, The MIT Press, pp. 1-10, 137-152, 245-271. Dec. 1988.
  • R. Eberhart, et al., "CASENET: A Neural Network Tool for EEG Waveform Classification," 1989 Symp. on Computer-Based Medical Systems, pp. 60-68. Jun. 1989.
  • T. Korb and A. Zell, "Declarative Neural Network Description Language," Microprocessing and Microprogramming, pp. 181-188. Aug. 1989. (8 pages) Cited by 8 patents
  • J. Nijhuis, "Structure and Application of NNSIM: a general-purpose Neural Network SIMulator," Microprocessing and Microprogramming, pp. 189-194. Aug. 1989. (6 pages) Cited by 10 patents
  • R. Brause, "Neural Network Simulation using INES," Tools for Artificial Intelligence, pp. 556-561. Oct. 1989.
  • "Neural-Network Vendors and Features," Al Expert, pp. 60-61. Dec. 1989.
  • P. Chen, The Neural Shell: A Neural Networks Simulator, Masters Thesis, Ohio State University, 87 pages. Dec. 1989.


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