Title:
SIMILARITY ASSESSMENT METHOD, SIMILARITY DEGREE CALCULATION UNIT, DIFFUSION LEARNING NETWORK, AND NEURAL NETWORK EXECUTION PROGRAM
Document Type and Number:
WIPO Patent Application WO/2024/004885
Kind Code:
A1
Abstract:
In the present invention, one or more inputs occur, with one of two different values L and H being inputted as each input, and when a value for the i'th input of a learning phase is expressed by xi and a value for the ith input of a similarity assessment phase is expressed by yi, the i'th input is assigned a value wi, with one of the two values L and H being set to the value wi. In the learning phase, the weight value wi assigned to the i'th input is set to the value of xi. In the similarity assessment phase, the number of inputs where xi equals the value H, the number of inputs where wi and yi both equal the value H, and the number of inputs where the value of yi equals the value H are calculated. A value obtained by dividing the number of inputs where wi and yi both equal the value H by the sum of the number of inputs where wi equals the value H and the number of inputs where yi equals the value H is calculated and outputted as a similarity degree that represents the extent of similarity.
Inventors:
YAMASHITA TAKAO (JP)
Application Number:
PCT/JP2023/023436
Publication Date:
January 04, 2024
Filing Date:
June 23, 2023
Export Citation:
Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
G06N3/02; G06N3/043
Domestic Patent References:
| WO2021199386A1 | 2021-10-07 |
Foreign References:
| JPH03283193A | 1991-12-13 |
Other References:
MARCO MAGGIONI; MARCO DOMENICO SANTAMBROGIO; JIE LIANG;: "GPU-accelerated Chemical Similarity Assessment for Large Scale Databases", PROCEDIA COMPUTER SCIENCE, ELSEVIER, AMSTERDAM, NL, vol. 4, AMSTERDAM, NL , pages 2007 - 2016, XP028269728, ISSN: 1877-0509, DOI: 10.1016/j.procs.2011.04.219
Attorney, Agent or Firm:
ISONO INTERNATIONAL PATENT OFFICE, P.C. (JP)
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