Invention Grant
- Patent Title: Self-organizing neural network approach to the automatic layout of business process diagrams
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Application No.: US14579338Application Date: 2014-12-22
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Publication No.: US09959517B2Publication Date: 2018-05-01
- Inventor: John Mourra
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Law Office of Jim Boice
- Main IPC: G06F3/048
- IPC: G06F3/048 ; G06Q10/06 ; G06F3/0481

Abstract:
A method, system, and/or computer program product generates self-organizing layouts of process diagrams. Initial weight vectors are distributed uniformly within boundaries of regions in the process diagram. A spatial input vector is randomly generated within the boundaries of each region. In each region in the process diagram, a closest graphical node is found, and a position of a winning graphical node that is the closest graphical node to the random input vector is adjusted. Positions of all non-immutable graphical objects, wi, in a topographical neighborhood N(k) of a closest graphical node wc that can cross a boundary of one or more regions from the multiple regions are adjusted. The spatial input vector is recursively generated, the closest graphical node is recursively located, and the positions of all non-immutable graphical objects, wi, in the topographical neighborhood N(k) are recursively adjusted until a maximum number of iterations, kmax is reached.
Public/Granted literature
- US20160180263A1 Self-Organizing Neural Network Approach to the Automatic Layout of Business Process Diagrams Public/Granted day:2016-06-23
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